11+ OVM Jobs in Hyderabad | OVM Job openings in Hyderabad

Roles & Responsibilities

• Design, develop, and deliver scalable end-to-end data pipelines using Azure Data Factory, ensuring robust integration

of enterprise-wide data from diverse sources

• Build and optimize data engineering workflows using Databricks and PySpark

• Write efficient, high-performance SQL for data transformation and analysis

• Work with the Azure Cloud platform and associated services, applying strong understanding of data warehousing,

data models, and pipelines

• Provide technical leadership to a team of developers, including code reviews and enforcing best practices across the

development lifecycle

• Oversee CI/CD implementation using Azure DevOps, managing deployments across development, QA, and production

environments with proper change control processes

• Collaborate with cross-functional teams to translate business requirements into scalable data solutions

• Ensure data quality, reliability, and performance across all pipelines and platforms

Ideal Candidate

1Strong Azure Databricks Engineer / Senior Data Engineer Profile

2Mandatory (Experience 1) – Must have minimum 8+ years of overall experience in Data Engineering, Data Development, or related data technology roles, with strong hands-on experience in enterprise data pipeline development.

3Mandatory (Experience 2) – Must have strong hands-on experience with Azure Databricks, including development and optimization of scalable data engineering workflows using Databricks and PySpark.

4Mandatory (Experience 3) – Must have strong hands-on proficiency in PySpark/Python and SQL, with proven experience developing complex data transformations, processing workflows, and performance-optimized queries.

5Mandatory (Experience 4) – Must have hands-on experience with Azure Data Factory (ADF) for designing, developing, and orchestrating end-to-end data pipelines and integrating data from multiple sources.

6Mandatory (Experience 5) – Must have strong experience working on the Azure Cloud platform and associated data services, with solid understanding of data warehousing, data modeling, pipeline architecture, and enterprise data solutions.

7Mandatory (Experience 6) – Must have hands-on experience implementing CI/CD using Azure DevOps, including deployment and release management across development, QA, and production environments.

8Mandatory (Experience 7) – Must have proven technical leadership experience, including code reviews, enforcing development best practices, mentoring developers, and providing technical guidance to a data engineering team.

9Mandatory (Notice Period) – Immediate joiners or candidates who can join within 15 days.

10Mandatory (Note) - The position is open across all Cognizant offices pan India. Candidates must be willing to attend the F2F interview at the nearest Cognizant office location.

• Proficient experience of minimum 3 years into C++ & experience using MFC library.
• Good experience into C# programming.
• Working experience into COM.
• Good Communication skills.

Role & Responsibilities:

We are looking for a strong Data Engineer to join our growing team. The ideal candidate brings solid ETL fundamentals, hands-on pipeline experience, and cloud platform proficiency — with a preference for GCP / BigQuery expertise.

Responsibilities:

• Design, build, and maintain scalable data pipelines and ETL/ELT workflows
• Work with Dataform or DBT to implement transformation logic and data models
• Develop and optimize data solutions on GCP (BigQuery, GCS) or AWS/Azure
• Support data migration initiatives and data mesh architecture patterns
• Collaborate with analysts, scientists, and business stakeholders to deliver reliable data products
• Apply data governance and quality best practices across the data lifecycle
• Troubleshoot pipeline issues and drive proactive monitoring and resolution

Ideal Candidate:

• Strong Data Engineer Profile
• Must have 6+ years of hands-on experience in Data Engineering, with strong ownership of end-to-end data pipeline development.
• Must have strong experience in ETL/ELT pipeline design, transformation logic, and data workflow orchestration.
• Must have hands-on experience with any one of the following: Dataform, dbt, or BigQuery, with practical exposure to data transformation, modeling, or cloud data warehousing.
• Must have working experience on any cloud platform: GCP (preferred), AWS, or Azure, including object storage (GCS, S3, ADLS).
• Must have strong SQL skills with experience in writing complex queries and optimizing performance.
• Must have programming experience in Python and/or SQL for data processing.
• Must have experience in building and maintaining scalable data pipelines and troubleshooting data issues.
• Exposure to data migration projects and/or data mesh architecture concepts.
• Experience with Spark / PySpark or large-scale data processing frameworks.
• Experience working in product-based companies or data-driven environments.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

NOTE:

• There will be an interview drive scheduled on 28th and 29th March 2026, and if shortlisted, they will be expected to be available on these Interview dates. Only Immediate joiners are considered.

Strong Data Engineer Profile

Mandatory (Experience 1) – Must have 6+ years of hands-on experience in Data Engineering, with strong ownership of end-to-end data pipeline development.

Mandatory (Experience 2) – Must have strong experience in ETL/ELT pipeline design, transformation logic, and data workflow orchestration.

Mandatory (Experience 3) – Must have hands-on experience with any one of the following: Dataform, dbt, or BigQuery, with practical exposure to data transformation, modeling, or cloud data warehousing.

Mandatory (Experience 4) – Must have working experience on any cloud platform: GCP (preferred), AWS, or Azure, including object storage (GCS, S3, ADLS).

Mandatory (Core Skill 1) – Must have strong SQL skills with experience in writing complex queries and optimizing performance.

Mandatory (Core Skill 2) – Must have programming experience in Python and/or SQL for data processing.

Mandatory (Core Skill 3) – Must have experience in building and maintaining scalable data pipelines and troubleshooting data issues.

👋🏼We're Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (19000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

REQUIREMENTS:

• Must have Skills: Node JS, Microservices architecture (MSA) (Capable),Javascript/Typescript, AWS S3/ LAMBDA/ EC2/DYNAMODB
• Cloud developer with a minimum of 6 years of experience Technical skills in most of the following areas
• Expert in developing REST Services and APIS using JavaScript, TypeScript NodeJS is a must 
• Implementing Serverless Software development using Amazon Lambda written in NodeJS is desirable.
• Services including AWS IoT, S3, RDS, IAM, Cognito, SNS, VPC, EBS, AWS Route 53, and Cloud Watch is a must
• Proficient in database concepts including schema design, querying, performance tuning, and debugging (Both SQL and No-SQL databases)
• Strong experience in designing and developing enterprise cloud-based IoT solutions using AWS
• Develop Web, APIs, IoT & Cloud based solutions is a must
• Ability to write automated unit test cases using mocking frameworks (Jasmine, Mocha, chai, Jest, etc.)
• Experience in modern data architectures (e.g. Micro Service, event-driven architectures, stream processing, and integrating real-time analytics into customer applications is desirable
• Have a good eye for NFRs (Scalability, extensibility, reliability, etc.) while evaluating design. should be able to Converts Solution Requirements into logical systems & subsystems
• Innovates and creates new ideas and have the ability to develop quick proof of concepts and validate with the customer.

RESPONSIBILITIES:

• Understanding functional requirements thoroughly and analysing the client’s needs in the context of the project
• Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns, and frameworks to realize it
• Determining and implementing design methodologies and tool sets
• Enabling application development by coordinating requirements, schedules, and activities.
• Being able to lead/support UAT and production roll outs
• Creating, understanding, and validating WBS and estimated effort for given module/task, and being able to justify it
• Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement
• Giving constructive feedback to the team members and setting clear expectations.
• Helping the team in troubleshooting and resolving of complex bugs
• Carrying out POCs to make sure that suggested design/technologies meet the requirements.

We at Datametica Solutions Private Limited are looking for an SQL Lead / Architect who has a passion for the cloud with knowledge of different on-premises and cloud Data implementation in the field of Big Data and Analytics including and not limiting to Teradata, Netezza, Exadata, Oracle, Cloudera, Hortonworks and alike.

Ideal candidates should have technical experience in migrations and the ability to help customers get value from Datametica's tools and accelerators.

Job Description :

Experience: 6+ Years

Work Location: Pune / Hyderabad

Technical Skills :

• Good programming experience as an Oracle PL/SQL, MySQL, and SQL Server Developer
• Knowledge of database performance tuning techniques
• Rich experience in a database development
• Experience in Designing and Implementation Business Applications using the Oracle Relational Database Management System
• Experience in developing complex database objects like Stored Procedures, Functions, Packages and Triggers using SQL and PL/SQL
•  

Required Candidate Profile :

• Excellent communication, interpersonal, analytical skills and strong ability to drive teams
• Analyzes data requirements and data dictionary for moderate to complex projects • Leads data model related analysis discussions while collaborating with Application Development teams, Business Analysts, and Data Analysts during joint requirements analysis sessions
• Translate business requirements into technical specifications with an emphasis on highly available and scalable global solutions
• Stakeholder management and client engagement skills
• Strong communication skills (written and verbal)

About Us!

A global leader in the Data Warehouse Migration and Modernization to the Cloud, we empower businesses by migrating their Data/Workload/ETL/Analytics to the Cloud by leveraging Automation.

We have expertise in transforming legacy Teradata, Oracle, Hadoop, Netezza, Vertica, Greenplum along with ETLs like Informatica, Datastage, AbInitio & others, to cloud-based data warehousing with other capabilities in data engineering, advanced analytics solutions, data management, data lake and cloud optimization.

Datametica is a key partner of the major cloud service providers - Google, Microsoft, Amazon, Snowflake.

We have our own products!

Eagle Data warehouse Assessment & Migration Planning Product

Raven Automated Workload Conversion Product

Pelican Automated Data Validation Product, which helps automate and accelerate data migration to the cloud.

Why join us!

Datametica is a place to innovate, bring new ideas to live, and learn new things. We believe in building a culture of innovation, growth, and belonging. Our people and their dedication over these years are the key factors in achieving our success.

Benefits we Provide!

Working with Highly Technical and Passionate, mission-driven people

Subsidized Meals & Snacks

Flexible Schedule

Approachable leadership

Access to various learning tools and programs

Pet Friendly

Certification Reimbursement Policy

Check out more about us on our website below!

www.datametica.com

JD –

Having experience in Implementing Integration Solutions using Oracle Integration Cloud Service.

Developed integration between SaaS application (Oracle Cloud ERP, Oracle Cloud HCM) and between SaaS and PaaS application

Should have worked extensively on minimum 3-4 Technology Adapters like File, Database, Oracle ERP & FTP adapter

Should have excellent skill in Web Service technologies such as XML, XPath, XSLT, SOAP, WSDL, and XSD

Experience in all phases of software development lifecycle from gathering requirements to documentation, testing, implementation and support Ability to troubleshoot technical and configuration issues

Should be able to communicate effectively with the functional & technical groups and various technical team members.

Ensure completion of tasks, milestones, and components including Technical specifications, design specifications, configurations, quality assurance, implementations, and project reviews