11+ IBM InfoSphere DataStage Jobs in Hyderabad | IBM InfoSphere DataStage Job openings in Hyderabad

Who we are :

Kanerika Inc. is a premier global software products and services firm that specializes in providing innovative solutions and services for data-driven enterprises. Our focus is to empower businesses to achieve their digital transformation goals and maximize their business impact through the effective use of data and AI. We leverage cutting-edge technologies in data analytics, data governance, AI-ML, GenAI/ LLM and industry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth.

What You Will Do :

As a Data Governance Developer at Kanerika, you will be responsible for building and managing metadata, lineage, and compliance frameworks across the organizations data ecosystem.

Required Qualifications :

- 4 to 6 years of experience in data governance or data management.

- Strong experience in Microsoft Purview and Informatica governance tools.

- Proficient in tracking and visualizing data lineage across systems.

- Familiar with Azure Data Factory, Talend, dbt, and other integration tools.

- Understanding of data regulations : GDPR, CCPA, SOX, HIPAA.

- Ability to translate technical data governance concepts for business stakeholders.

Tools & Technologies :

- Microsoft Purview, Collibra, Atlan, Informatica Axon, IBM IG Catalog

- Experience in Microsoft Purview areas :

1. Label creation and policy management

2. Publish/Auto-labeling

3. Data Loss Prevention & Compliance handling

4. Compliance Manager, Communication Compliance, Insider Risk Management

5. Records Management, Unified Catalog, Information Barriers

6. eDiscovery, Data Map, Lifecycle Management, Compliance Alerts, Audit

7. DSPM, Data Policy

Key Responsibilities :

- Set up and manage Microsoft Purview accounts, collections, and access controls (RBAC).

- Integrate Purview with data sources : Azure Data Lake, Synapse, SQL DB, Power BI, Snowflake.

- Schedule and monitor metadata scanning and classification jobs.

- Implement and maintain collection hierarchies aligned with data ownership.

- Design metadata ingestion workflows for technical, business, and operational metadata.

- Enrich data assets with business context : descriptions, glossary terms, tags.

- Synchronize metadata across tools using REST APIs, PowerShell, or ADF.

- Validate end-to-end lineage for datasets and reports (ADF ? Synapse ? Power BI).

- Resolve lineage gaps or failures using mapping corrections or scripts.

- Perform impact analysis to support downstream data consumers.

- Create custom classification rules for sensitive data (PII, PCI, PHI).

- Apply and manage Microsoft Purview sensitivity labels and policies.

- Integrate with Microsoft Information Protection (MIP) for DLP.

- Manage business glossary in collaboration with domain owners and stewards.

- Implement approval workflows and term governance.

- Conduct audits for glossary and metadata quality and consistency.

- Automate Purview operations using :

- PowerShell, Azure Functions, Logic Apps, REST APIs

- Build pipelines for dynamic source registration and scanning.

- Automate tagging, lineage, and glossary term mapping.

- Enable operational insights using Power BI, Synapse Link, Azure Monitor, and governance APIs.

Role & Responsibilities

·      Collect, clean, and analyze large structured and unstructured datasets from multiple internal and external sources

·      Conduct thorough exploratory data analysis (EDA) to understand data distributions, relationships, outliers, and missing value patterns

·      Profile and audit datasets to assess data quality, completeness, consistency, and fitness for modeling

·      Investigate and document data lineage — understanding where data originates, how it flows, and how it transforms across systems

·      Identify and resolve data anomalies, inconsistencies, and integrity issues in collaboration with data engineering teams

·      Develop a deep understanding of the business domain and the underlying data that represents it — including what each field means, how it is captured, and what its limitations are

·      Translate raw, messy, real-world data into clean, well-understood analytical datasets ready for modeling and reporting

·      Apply statistical techniques such as correlation analysis, hypothesis testing, variance analysis, and distribution fitting to extract meaningful signals from noise

·      Build and deploy machine learning models including regression, classification, clustering, NLP, and time-series analysis

·      Design, evaluate, and analyze A/B experiments and controlled tests using causal inference techniques

·      Develop data-driven recommendations backed by rigorous statistical reasoning

·      Write clean, production-ready code in Python or R

·      Collaborate with data engineers to build reliable data pipelines and feature stores

·      Deploy and monitor ML models using MLOps best practices on cloud infrastructure

·      Build dashboards and self-serve analytics tools to support stakeholder decision-making

Data Understanding & Analysis Skills

·      Strong ability to interrogate unfamiliar datasets and quickly develop a working understanding of their structure, semantics, and quirks

·      Experience working with messy, incomplete, or poorly documented real-world data

·      Skilled in identifying hidden patterns, trends, seasonality, and anomalies through visual and statistical exploration

·      Ability to ask the right questions about data — challenging assumptions, validating sources, and understanding the context in which data was collected

·      Proficiency in data profiling, descriptive statistics, and summary reporting to communicate the shape and health of a dataset

·      Experience creating data dictionaries, documentation, and data quality reports to support team-wide data understanding

·      Comfort working across structured (relational tables), semi-structured (JSON, XML), and unstructured (text, logs, sensor streams) data formats

Technical Skills Required

·      Proficiency in Python (pandas, NumPy, scikit-learn, PyTorch or TensorFlow) and/or R

·      Strong SQL skills with hands-on experience in DB2 and SQL Server

·      Experience with Databricks for large-scale data processing, feature engineering, and model training

·      Familiarity with cloud platforms: Azure or AWS

·      Experience with data warehouses and big data platforms (Databricks, Snowflake, or Redshift)

·      Knowledge of MLOps tools such as MLflow, Kubeflow, or Airflow

·      Experience with streaming data technologies such as Kafka or Spark

·      Solid foundation in probability, statistics, linear algebra, and experimental design

Nice to Have

·      Experience with deep learning, NLP, computer vision, or Bayesian methods

·      Familiarity with real-time or streaming data pipelines

·      Open-source contributions or published research

We are looking for a skilled and passionate Data Engineers with a strong foundation in Python programming and hands-on experience working with APIs, AWS cloud, and modern development practices. The ideal candidate will have a keen interest in building scalable backend systems and working with big data tools like PySpark.

Key Responsibilities:

• Write clean, scalable, and efficient Python code.
• Work with Python frameworks such as PySpark for data processing.
• Design, develop, update, and maintain APIs (RESTful).
• Deploy and manage code using GitHub CI/CD pipelines.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Work on AWS cloud services for application deployment and infrastructure.
• Basic database design and interaction with MySQL or DynamoDB.
• Debugging and troubleshooting application issues and performance bottlenecks.

Required Skills & Qualifications:

• 4+ years of hands-on experience with Python development.
• Proficient in Python basics with a strong problem-solving approach.
• Experience with AWS Cloud services (EC2, Lambda, S3, etc.).
• Good understanding of API development and integration.
• Knowledge of GitHub and CI/CD workflows.
• Experience in working with PySpark or similar big data frameworks.
• Basic knowledge of MySQL or DynamoDB.
• Excellent communication skills and a team-oriented mindset.

Nice to Have:

• Experience in containerization (Docker/Kubernetes).
• Familiarity with Agile/Scrum methodologies.

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation. 
 

Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.

• Design, coding, enhancements, and bug fixing in DNS and related areas.

• Bring up new ideas to improve the day-to-day challenges in the design/functionality.

• Should be able to provide technical direction to the ongoing and future projects in the team.

• Keep the product vulnerability free by uplifting/fixing the open issues.

• Build tools and infrastructure to improve these F5’s components and features. 

• Set an example of software design and development innovation and excellence. 

• Research, investigate and define new areas of technology to enhance existing or new products directions

• Evaluate performance of products to fine-tune, and refactor the design as per the requirements to scale up.

• Must have worked in security and related areas.

• Document software designs via functional specifications and other design documents

• Conduct presentations internal and external, mentoring the team members

• May participate in the hiring and onboarding process

• Collaborate with team members and technical leads

• Responsible for upholding F5’s Business Code of Ethics and for promptly reporting violations of the Code or other company policies.

Knowledge, Skills and Abilities: 

Essential 

• Deep understanding of data structures & algorithm. 

• Expert in C, C++ with hands-on experience

• Fair understanding of scripting languages Python and JavaScript

• Expertise in Linux user-level programming and exposure to Linux networking stack.

• Good understanding on TCP/IP concepts.

• Proven experience with security standards.

• Excellent analytical and problem-solving skills. 

• Good understanding of Network security and DNS modules

• Excellent Understanding of networking technologies and OS internals.

• Prior experience in leading and delivering project/programs involving multiple teams.

• Prior experience of leading and mentoring senior engineers to deliver critical projects.

Nice-to-have 

• Prior experience developing DNS and related modules is a Plus.

• Good understanding of network protocols like TCP, UDP, HTTP, SSL, DNS, FTP etc. 

• Experience with CI/CD (git, pipeline etc.). 

Qualifications

• Requires a minimum of 15+ years of related experience with a Bachelor of Engineering in ECE/Computers or similar years’ experience with ME/MTech in ECE/Computers.

• Excellent organizational agility and interpersonal skills throughout the organization.

• Ability to work flexible hours for better collaboration with international teams.

F5 Inc. is an equal opportunity employer and strongly supports diversity in the workplace. The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.

Hi All,

We are hiring for Accountant Position..

Exp.- 6 months- 3 Years

#Candidate must have good working exp. in TDS filling,GST returns filling ,need to having good experience in Accounting work, verifying MIS Reports.

#Having Good Experience in -

1.Book Keeping

2.GST

3.TDS

4.PF & PT

#Excel, Tally and knowledge on Zoho Books will be advantage.

Qualifications

• Bachelor's degree in Accounting or related field
• Ability to interpret and analyze financial statements and periodicals

• Minimum 1 years of relevant experience, in PySpark (mandatory)
• Hands on experience in development, test, deploy, maintain and improving data integration pipeline in AWS cloud environment is added plus 
• Ability to play lead role and independently manage 3-5 member of Pyspark development team 
• EMR ,Python and PYspark mandate.
• Knowledge and awareness working with AWS Cloud technologies like Apache Spark, , Glue, Kafka, Kinesis, and Lambda in S3, Redshift, RDS

Role: Product Manager

Experience: 5-10 years

Location: Hyderabad (Remote due to COVID-19)

Technovert is not a typical IT services firm. We inculcate the product mindset for the talent working with us. We have to credit two of our successful products generating $2M+ in licensing/SaaS revenues which is rare in the industry.

Step ahead, we are looking for a Product Manager who can create best out of excellent engineering minds and build together a product which suffice Insurance Industry needs. This is a pivotal role where you can see yourself working with the Technology, Sales, Marketing and Leadership team. 
Your Responsibilities

• Identify product market opportunities through market research, customer profiling, needs analysis, market sizing and competitive analysis.
• Define the product strategy, and translate product strategy into roadmap and feature definition, in line with business and customer experience objectives.
• Collect and develop ideas, prioritize the ideas, create business cases
• Define, track, and improve key product metrics.
• Drive the product discovery process for large projects and support the product implementation and deployment
• Partner and collaborate with stakeholders from multiple teams like Engineering, UX, Data, etc. across numerous business units across countries and teams
• Liaise with Engineering and Product owners to help them implement and verify the product increments
• Liaise with Sales, Marketing, Services and Support organizations to launch the product evolutions to market
• Works with product marketing department to develop effective communication activities and programs including product positioning, collateral development, whitepapers, and analyst engagement
• Serves as the key contact for product questions and new product ideas which surface from customers, sales, or market research.
• Manages the resolution of escalated customer problems. Escalates problems and issues to other departments when needed.

Ideal Candidate Traits

• Strong understating of the Insurance industry. Preferable Life & Health.
• Must be able and willing to think and act strategically and tactically
• Excellent communication skills, and design thinking skills
• Strong analytical and problem-solving skills. Leveraging data to make informed product decisions.
• Must have sound business judgment as well as the ability to think clearly, analyze quantitatively, problem-solve, scope technical requirements, and prioritize
• Ability to explain the business and technical value of a technical offering to internal and external audience which is a mix of technical and non-technical customer representatives

Minimum Qualifications

• 4+ years of experience in technology product management.
• 3+ years of working in the insurance domain
• Have worked independently or as a lead on GTM and launch of at least 1 product
• Worked closely with developers in an agile development environment
• Prior experience as a developer preferred.

Job Responsibilities

• Manage a team of talented engineers and oversee daily execution
• Work with product managers in planning sprints and task estimation
• Remove roadblocks for teams and increase delivery velocity
• Provide technical leadership to the team
• Be Technical SME in client meetings
• Be a stickler for code quality, test coverage
• Coach and grow engineering team

To be successful in this role, you need to have/be:

• Proven track record in managing engineering teams and delivering quality products.
• Experience in Ruby on Rails, React JS tech stacks
• Experience in building high performance web applications/APIs
• Top notch analytical/problem solving/debugging skills
• Should have proven ability to build, lead and develop a team
• Strong communication skills with the ability to clearly articulate needs as well as provide the team with a clear overview of the priorities
• Excellent verbal, analytical, organizational, and written skills