11+ Video tracking Jobs in Delhi, NCR and Gurgaon | Video tracking Job openings in Delhi, NCR and Gurgaon

JOB DETAILS:

Job Role: AI Artist

Industry: Media and entertainment

Function: Arts and Design

Working Day: 5

Work Mode: ONSITE

Salary: Best in Industry

Experience: 3-5 years

Location: Noida

Required Skills: AI Video & Visual Generation, Advanced Video Editing & Motion Design, Visual Storytelling & Cinematic Sense, Audio, Lip Sync & Regional Dialects, Creative Experimentation & Collaboration

Criteria:

• Proven hands-on experience creating video content using AI tools (Runway, Pika Labs, Kaiber, Leonardo, Synthesia or similar)
• Strong working command of video editing software — Premiere Pro, After Effects, or DaVinci Resolve
• Ability to generate, refine, and upscale AI-generated video clips for motion smoothness, resolution, and visual quality
• Experience blending AI visuals, live footage, music, and sound design into cohesive, story-driven outputs
• Functional knowledge of AI voiceover and sound tools (e.g., ElevenLabs, Play.ht or equivalents)
• Strong understanding of visual storytelling, composition, pacing, and narrative flow
• Ability to manage lip-sync and dialogue timing, especially in regional dialects (Haryanvi, Rajasthani, Bhojpuri)
• Working understanding of cinematography, lighting, and film language
• Passion for regional Indian storytelling and cultural authenticity

Description

About the Role

Key Responsibilities

● Generate video outputs using AI tools like Runway Gen-3, Pika Labs, Kaiber, or Synthesia to create high-quality, story-driven visuals.

● Blend AI visuals, live footage, and music to produce emotionally immersive scenes.

● Refine and upscale AI clips for motion smoothness, resolution, and perfect lip sync in regional dialects.

● Integrate AI voiceovers and sound design using tools such as Eleven Labs and Play.ht.

● Collaborate with AI Writers and Creative Directors to ensure alignment of tone, style, and storytelling.

● Design frames, environments, and character visuals using Mid journey, Runway, Leonardo, or Pika Labs, maintaining stylistic consistency across projects.

● Experiment with AI VFX and generative camera effects, constantly pushing the boundaries of what’s possible.

● Document workflows and maintain a visual asset library for reuse and creative reference.

● Stay ahead of the curve by exploring new AI tools, trends, and creative techniques.

Key Skills & Tools

● Strong command over Premiere Pro, After Effects, DaVinci Resolve.

● Experience with AI video and image generation platforms (like Runway, Veo3, Kaiber, Pika Labs, Leonardo).

● Familiarity with upscaling and motion enhancement tools (like Topaz, Flow Frames).

● Good understanding of sound design and mixing.

● Deep sense of composition, pacing, and narrative flow.

● Ability to manage lip sync and dialogue timing in regional dialects (Haryanvi, Rajasthani, Bhojpuri).

● Understanding of cinematography, lighting, and film language.

Ideal Background

● Experience as an editor, motion designer, or VFX artist.

● Prior exposure to AI-based video workflows or generative content creation.

● Passion for regional Indian storytelling and cultural representation.

● Strong interest in the intersection of creativity and emerging technology.

Soft Skills

● Artistic eye with meticulous attention to detail.

● Curiosity and willingness to experiment with AI-driven creativity.

● Team player with excellent collaboration and communication skills.

● Adaptive mindset to handle iterative creative feedback.

● Strong visual storytelling instincts and problem-solving ability.

Why Join Us

We’re not just making videos — we’re building a new language of cinema through AI. As India’s first creators of AI-generated content in regional dialects, we’re giving local cultures a global voice.

Here, you’ll work with visionary storytellers, technologists, and artists, using the most advanced AI tools to craft regional stories that resonate with millions.

If you’re driven by creativity, innovation, and cultural pride — join us and be part of the future of storytelling.

Job Description – QA & Data Validation Engineer

Experience: 5–6 Years

Location: Pan India

Employment Type: Full-Time

Work Mode: Pan India / Remote or Hybrid as applicable

About the Role

We are looking for an experienced QA & Data Validation Engineer with 5–6 years of hands-on experience in data quality assurance, solution analysis, data validation, SQL, Python, PySpark, Azure Data Factory, Azure Synapse Analytics, and Power BI validation.

The ideal candidate will be responsible for validating large-scale data pipelines, performing source-to-target reconciliation, analyzing business rules, investigating data defects, and ensuring the accuracy, completeness, and consistency of data across source, staging, intermediate, and target systems.

The role requires strong analytical and problem-solving skills along with the ability to work closely with development, data engineering, business, and other stakeholders in an Agile delivery environment.

You will also contribute to the design, development, and maintenance of automated validation frameworks and utilities using Python, SQL, PySpark, Azure Data Factory, and Azure Synapse.

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Key Responsibilities

1. QA & Solution Analysis

- Analyze business and technical requirements to understand data processing and validation needs.

- Participate in requirement analysis sessions and clarify functional and technical requirements with stakeholders.

- Review solution designs, data flows, mapping documents, interface specifications, and business rules.

- Validate that implemented solutions meet defined business and technical requirements.

- Identify gaps, inconsistencies, ambiguities, and potential data quality issues during requirement and solution analysis.

- Translate business requirements into detailed test scenarios, test cases, and validation conditions.

- Perform end-to-end validation of data processing workflows.

- Ensure data is accurately processed from source systems through intermediate layers to final outputs.

- Validate business rules and transformation logic implemented within data pipelines.

2. Test Planning & Execution

- Prepare comprehensive test strategies, test plans, test scenarios, and test cases for data-intensive applications.

- Execute functional, integration, regression, system, and data validation testing.

- Perform positive and negative testing for different data processing scenarios.

- Validate data pipelines across multiple environments, including staging, testing, and production.

- Identify test data requirements and prepare appropriate datasets for validation.

- Execute SQL queries to validate data processing and transformation results.

- Document test results, observations, defects, and validation evidence.

- Track testing progress and communicate status, risks, issues, and dependencies to stakeholders.

3. Data Validation & Reconciliation

- Perform detailed source-to-target data validation and reconciliation.

- Validate source, intermediate, staging, and output datasets.

- Perform record count validation between source and target systems.

- Verify data completeness, consistency, accuracy, and integrity.

- Validate data transformations against defined business rules.

- Perform field-level and record-level comparisons.

- Validate data types, formats, precision, scale, and null handling.

- Verify schema structure, layout, column names, and column sequence.

- Validate mandatory and optional fields.

- Identify missing, duplicate, truncated, or incorrectly transformed records.

- Analyze invalid records, rejected records, and exception datasets.

- Verify exception and reject-handling mechanisms.

- Compare production and staging data to identify discrepancies.

- Perform reconciliation between files, databases, and reporting layers.

- Validate data across different processing stages and identify the root cause of discrepancies.

4. File & Data Processing Validation

- Validate large-scale datasets across multiple file formats.

- Perform validation of:

 - CSV files

 - Delimited files

 - Fixed-width files

 - Excel files

 - Database tables

 - Structured and semi-structured datasets

- Validate file layouts, headers, delimiters, record formats, and column sequences.

- Verify file-level and record-level counts.

- Analyze source, intermediate, and final output files.

- Validate file-to-database and database-to-file reconciliation.

- Identify incomplete, corrupted, malformed, or invalid records.

- Verify data movement and transformation between different storage locations.

- Validate Azure-to-AWS file transfer processes.

- Ensure transferred files are complete and match the expected source datasets.

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5. Defect Investigation & Root Cause Analysis

- Investigate data discrepancies and application/data pipeline defects.

- Perform detailed root cause analysis for data quality and validation failures.

- Analyze source data, transformation logic, pipeline execution, database records, and output datasets to identify defects.

- Collaborate with developers and data engineers to resolve identified issues.

- Reproduce defects and provide detailed technical evidence.

- Perform defect impact analysis.

- Conduct retesting and regression testing after defect resolution.

- Monitor recurring data quality issues and recommend preventive solutions.

- Maintain detailed defect documentation and validation results.

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6. Python Development & Automation

- Develop Python scripts and utilities for data validation and reconciliation.

- Design, develop, and maintain reusable data validation frameworks.

- Automate repetitive data comparison and validation activities.

- Build automated utilities for:

 - Record count validation

 - Data completeness checks

 - Schema validation

 - Column sequence validation

 - Source-to-target comparison

 - Duplicate detection

 - Exception identification

 - Data quality checks

 - Automated reporting

- Develop Python-based validation and reporting utilities.

- Optimize Python scripts for processing large datasets.

- Maintain and enhance existing automation frameworks.

- Implement reusable validation components to improve testing efficiency and coverage.

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7. SQL Development & Data Analysis

- Write complex SQL queries for data analysis and validation.

- Perform data extraction and comparison using SQL Server / SSMS.

- Validate source and target database records.

- Perform joins, aggregations, subqueries, CTEs, and analytical queries as required.

- Develop SQL queries to identify data mismatches, duplicates, missing records, and transformation issues.

- Validate database tables, schemas, columns, constraints, and relationships.

- Perform record count and reconciliation checks using SQL.

- Analyze SQL Server metrics databases.

- Validate data processing results against expected business rules.

- Troubleshoot data discrepancies using SQL queries.

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8. PySpark & Large-Scale Data Processing

- Develop and execute PySpark notebooks for large-scale dataset processing and validation.

- Analyze large volumes of structured and semi-structured data.

- Perform data transformation and validation using PySpark.

- Compare large source and target datasets efficiently.

- Implement data quality and reconciliation checks using PySpark.

- Analyze exception, reject, and invalid datasets.

- Optimize data validation processes for large datasets.

- Work with Azure Synapse notebooks and data processing environments.

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9. Azure Data Factory & Pipeline Testing

- Design and execute validation scenarios for Azure Data Factory (ADF) pipelines.

- Validate pipeline execution, data movement, transformations, and dependencies.

- Monitor pipeline runs and investigate failures.

- Validate source-to-target data movement through ADF.

- Develop and maintain test pipelines using Azure Data Factory.

- Verify pipeline parameters, triggers, activities, and execution results.

- Validate file ingestion and processing workflows.

- Perform end-to-end testing of data pipelines.

- Investigate pipeline-related data discrepancies and failures.

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10. Azure Synapse Analytics

- Work with Azure Synapse Analytics for data validation and analysis.

- Develop and execute Synapse notebooks using PySpark.

- Validate datasets processed through Synapse pipelines and notebooks.

- Perform data quality and reconciliation checks within Synapse environments.

- Analyze large-scale datasets and processing results.

- Validate data movement between Azure storage, Synapse, databases, and reporting systems.

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11. Azure Storage & Cosmos DB

- Validate data stored in Azure Storage Accounts and Containers.

- Verify file ingestion, processing, and output data.

- Perform file-level and content-level validation within Azure storage.

- Validate data processing workflows involving Azure Storage.

- Perform data validation in Azure Cosmos DB.

- Verify records, fields, formats, and data completeness within Cosmos DB.

- Investigate discrepancies between source files, Azure storage, databases, and Cosmos DB.

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12. AWS S3 & Azure-to-AWS Validation

- Validate files stored in AWS S3.

- Perform source-to-target validation for files transferred between Azure and AWS.

- Verify file counts, file names, sizes, formats, and record counts.

- Compare source files with transferred S3 files.

- Validate data integrity after cloud-to-cloud file transfers.

- Investigate missing, incomplete, duplicate, or corrupted files.

- Support end-to-end validation of Azure-to-AWS data movement processes.

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13. Metrics, Reporting & Power BI Validation

- Extract and validate source system metrics.

- Validate metrics stored in SQL Server databases.

- Perform reconciliation between source metrics, database metrics, and reporting outputs.

- Validate Power BI dashboards and reports against underlying source data.

- Verify report calculations, KPIs, measures, filters, and aggregations.

- Perform file-to-database-to-Power BI reconciliation.

- Validate data displayed in Power BI against SQL Server and source datasets.

- Identify discrepancies between backend data and dashboard results.

- Support reporting and analytics teams with data validation and troubleshooting.

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14. Production Support & Job Monitoring

- Monitor scheduled data processing jobs and pipelines.

- Perform production validation and health checks.

- Analyze production failures and data discrepancies.

- Support incident investigation and resolution.

- Compare production and staging environments to identify differences.

- Validate production data after deployments and pipeline executions.

- Monitor ECG jobs and provide support for job execution and data processing issues.

- Perform post-production validation and reconciliation.

- Communicate critical production issues and risks to relevant stakeholders.

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15. Agile Delivery & Stakeholder Collaboration

- Work effectively within an Agile/Scrum delivery environment.

- Participate in sprint planning, daily stand-ups, backlog refinement, sprint reviews, and retrospectives.

- Collaborate with Business Analysts, Developers, Data Engineers, DevOps teams, Product Owners, and other stakeholders.

- Provide timely updates on testing progress and issues.

- Participate in requirement clarification and solution discussions.

- Support release planning and production deployment activities.

- Track work items and defects using Rally.

- Ensure testing activities are aligned with sprint and release timelines.

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Required Technical Skills

Mandatory Skills

- 5–6 years of experience in QA / Data Validation / Data Testing / Data Quality Engineering.

- Strong experience in SQL and data analysis.

- Hands-on experience with Python development and automation.

- Experience with PySpark and large-scale data processing.

- Strong experience with Azure Data Factory (ADF).

- Experience with Azure Synapse Analytics / Synapse Pipelines / Notebooks.

- Strong understanding of source-to-target data validation and reconciliation.

- Experience in data completeness, record count, schema, layout, and column validation.

- Experience in defect investigation and root cause analysis.

- Experience validating large datasets and multiple file formats.

- Experience with SQL Server / SSMS.

- Experience with Power BI dashboard/report validation.

- Strong understanding of data pipelines and ETL/ELT processes.

Cloud & Data Platform Experience

- Azure Data Factory

- Azure Synapse Analytics

- Azure Synapse Pipelines

- Azure Synapse Notebooks

- Azure Storage Accounts

- Azure Storage Containers

- Azure Cosmos DB

- Azure Privileged Identity Management (PIM)

- AWS S3

- Azure-to-AWS file transfer validation

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Preferred Skills

- Experience developing automated data validation frameworks.

- Experience building automated reporting and reconciliation utilities.

- Knowledge of ETL/ELT testing methodologies.

- Experience working with very large datasets.

- Experience in production data validation and support.

- Knowledge of cloud-based data platforms.

- Experience with Power BI data reconciliation.

- Experience working in Agile environments.

- Experience with Rally or similar Agile project management tools.

- Familiarity with Microsoft Copilot and AI-assisted productivity/automation tools.

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Key Responsibilities at a Glance

The successful candidate will be responsible for:

- Requirement analysis and clarification

- Business rule validation

- Test planning and execution

- Data quality and data validation

- Source-to-target reconciliation

- Record count and completeness validation

- Schema and layout validation

- Column sequence validation

- Exception and reject data analysis

- Production vs. staging comparison

- SQL-based data analysis

- Python automation

- PySpark development

- Azure Data Factory pipeline testing

- Azure Synapse validation

- Azure Storage validation

- Cosmos DB validation

- AWS S3 validation

- Azure-to-AWS file transfer validation

- Power BI dashboard validation

- SQL Server metrics validation

- Automated reporting

- Defect investigation and root cause analysis

- Production job monitoring and support

- Agile delivery and stakeholder collaboration

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Candidate Profile

We are looking for a detail-oriented, analytical, and technically strong QA/Data Validation professional who can work independently on complex data validation assignments.

The candidate should be comfortable working with large datasets, writing SQL queries, developing Python automation, analyzing PySpark datasets, validating cloud-based data pipelines, and troubleshooting data discrepancies across multiple systems.

Strong communication and stakeholder management skills are essential, as the role requires regular collaboration with technical and business teams.

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Education

Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field is preferred.

Experience

5–6 years of relevant professional experience in QA, Data Testing, Data Validation, ETL Testing, Data Quality, Data Engineering QA, or a similar role.

Location

Pan India

Employment Type

Full-Time

Keywords

QA Engineer, Data QA, Data Validation, Data Testing, ETL Testing, Data Quality, SQL, Python, PySpark, Azure Data Factory, ADF, Azure Synapse, Synapse Analytics, Synapse Pipelines, Azure Storage, Cosmos DB, AWS S3, Power BI, SQL Server, SSMS, Data Reconciliation, Source-to-Target Validation, Data Pipeline Testing, ETL QA, Automation Testing, Data Analytics, Root Cause Analysis, Agile, Rally, Cloud Data Testing, Data Engineering QA.

Job Title: Sales Consultant / Senior Sales Consultant

Locations: Delhin(GK1), Gurgaon (Sushant Lok), Ludhiana

Job Description:

We are seeking a dynamic and experienced Sales Consultant to build strong relationships with clients seeking personalized hair loss treatment solutions. The ideal candidate will offer tailored advice based on factors such as facial features, age, profession, personality, and individual expectations.

Key Responsibilities:

• Conduct thorough hair assessments to determine the stage of hair loss.
• Educate clients on the causes and solutions for hair loss, providing personalized counseling based on their specific needs.
• Understand client expectations, suggest appropriate procedures and products, and use visual aids to communicate achievable results.
• Set daily consultation and revenue targets, regularly evaluating performance against objectives.
• Achieve monthly revenue targets, driving the studio's financial growth.
• Demonstrate an entrepreneurial mindset and work closely as a business partner to achieve shared goals.

Qualifications and Skills:

• Bachelor’s degree required.
• Preferred age: 32 years and above.
• Minimum of 6+ years of experience in sales.
• Results-oriented approach with a strong focus on meeting and exceeding monthly revenue targets.
• Excellent verbal and written communication skills.
• Strong organizational skills with the ability to prioritize and manage multiple tasks effectively.
• Consultative, one-on-one selling approach.
• Experience in working directly with high-net-worth clients (HNI) in face-to-face consultations.

Only Male candidates

Job Description for Project Manager:

• Exposure to US/International Client (Preferred) Prior Experience in Digital Marketing (Search Engine Optimization) / Project Coordinator / Project Manager roles.
• Excellent written and verbal communication and presentation skills, able to generate interest and engage the client during calls and on emails.
• Manage projects, establish productive, professional, and profitable relationships with key personnel and clients in assigned projects.
• Coordinate with various departments within the organization, including support, service, technology, and manage resources, in order to ensure seamless functioning of the client accounts.
• Responsible for client receivables; planning and execution of monthly retention.
• Candidates with Project Management, Digital Marketing & Technical Skills Preferred.
• Document all requests and comments made by clients to ensure timely feedback and follow-up actions of client escalations/queries.
• Ability to maintain a positive, motivational, 'get things done' attitude, especially when faced with difficult circumstances.
• Achieves strategic customer objectives and account plans defined by company management.
• Good relationship-building skills (internal, external, and cross-cultural).
• Sound computer skills, especially in the areas of MS Word, MS Excel, and MS PowerPoint.
• Lead solution development efforts that best address customer needs, while coordinating the involvement of all necessary actions required and always keep the internal team updated.
• Maintain a consistent schedule of online meetings with the client to manage performance objectives, customer-expectations and assess customer needs on an ongoing basis.

What we are looking for-

• Excellent communication skills
• Must have enthusiasm and a sincere attitude.

About the role

We are looking for a person who has an understanding of various destinations and tour sales packages. We are seeking a dynamic and results-oriented Holiday Domestic and International Sales professional to drive revenue growth and customer satisfaction during peak holiday seasons. This role will involve managing and executing sales strategies for both domestic and international markets, focusing on maximizing sales opportunities and exceeding targets.

Roles & Responsibilities

1. Actively engage with customers to understand their needs and preferences, providing exceptional customer service.

2.Utilize effective sales techniques, including product demonstrations, presentations, and negotiations, to close deals

3.Develop and implement comprehensive sales strategies for the holiday season, aligned with overall business objectives.

4. Identify target markets, analyze market trends, and develop tailored sales approaches to maximize revenue potential.

5. Collaborate with cross-functional teams to ensure seamless execution of sales initiatives.

Requirements:

# Bachelor’s degree in travel related domain

# Candidate should have knowledge of travel industry

# Excellent business development and client acquisition skills

# Exceptional negotiation and closing skills

# Proficiency in maintaining databases and preparing reports

# Strong interpersonal and communication skills, with the ability to build relations with clients

Interview process

1st round with HR team

2nd & final round with operations Manager.

Note*:

1.      The duration of this internship is 1 year

2.      Competitive stipend will be offered of 12000

3.      After completion of internship, PPO will be offered based on the performance

Job Location: Plot No 80, Institutional Area, Sector 32, Gurugram Haryana, 122001

About Us

We Innvoage Technology Private Limited, incorporated in the year 2021, with a dream to revolutionise the Fintech industry by our innovative solutions in the field of online transactions. Our Vision is to “Be the most trusted and innovative service provider in the payment industry, with smoothest and most convenient to use interface and to offer unparalleled solutions to our valued customers in all our markets.”

We are looking for a core team to be the lead developers for our Payment Gateway Solution - UPayI.

Job Responsibilities

• Familiar with Laravel 8 with php 7.4
• Familiar with MySQL or PostgreSQL
• Familiar with WordPress plugin development

Required Skills

• Using Laravel to develop web system project. (about EC and Education)
• Developing WordPress plugins. (ITS VERY IMPORTANT) 
• Modify WordPress theme, or plugin's template.
• Other web backend tasks.
• Must have at least 3 years of experience in Frontend Web Development.