V
Software Engineer
Job Description
Job Title: Specialist – Data Management
Department: Central Technology
Location: Gurgaon
Reports To: Senior Project Manager
Level: 5
Role Overview
We are seeking an experienced Data Management Specialist with strong expertise in data cataloguing, data quality, data governance, and exposure to data modelling and data architecture. The role involves working closely with business stakeholders, solution architects, and data modellers to define and manage critical data assets, maintain high-quality metadata, and strengthen enterprise data governance practices. The ideal candidate will have hands-on experience with enterprise metadata management tools, a strong understanding of data lifecycle and data lineage, and the ability to translate complex data concepts into structured documentation and data catalogues.
The position requires a minimum of 12 years of IT experience, including at least 6 years of experience in Data Management or related functions, to support the Enterprise Data Management team.
Key Responsibilities
Define and implement solutions to manage critical data elements, business glossaries, data lineage, and technical and business metadata in alignment with Data Governance policies and standards.
Conduct stakeholder interviews, workshops, use case discussions, and workflow analysis to understand business requirements and data management needs.
Department: Central Technology
Location: Gurgaon
Reports To: Senior Project Manager
Level: 5
Role Overview
We are seeking an experienced Data Management Specialist with strong expertise in data cataloguing, data quality, data governance, and exposure to data modelling and data architecture. The role involves working closely with business stakeholders, solution architects, and data modellers to define and manage critical data assets, maintain high-quality metadata, and strengthen enterprise data governance practices. The ideal candidate will have hands-on experience with enterprise metadata management tools, a strong understanding of data lifecycle and data lineage, and the ability to translate complex data concepts into structured documentation and data catalogues.
The position requires a minimum of 12 years of IT experience, including at least 6 years of experience in Data Management or related functions, to support the Enterprise Data Management team.
Key Responsibilities
Define and implement solutions to manage critical data elements, business glossaries, data lineage, and technical and business metadata in alignment with Data Governance policies and standards.
Conduct stakeholder interviews, workshops, use case discussions, and workflow analysis to understand business requirements and data management needs.
More Info
Key Skills
data lifecycle
enterprise metadata management tools
data cataloguing
About Company
Skills:
Java, RDS, Cloudformation, Pyspark, Kafka, Terraform, Docker, Gitlab, MongoDB, Python, S3, Data Modelling, Emr, Lambda, Cicd, AWS, ML pipeline orchestration, Event Streaming Technologies, ML lifecycle concepts, IaC, Microservices architecture, feature stores, Step Functions, model training, Monitoring, SageMaker, Evaluation, Glue, Deployment, distributed data processing
Skills:
Java, Sql, Spring Framework, Eclipse Ide, Application Servers, Log4J, Database Design, Restful Webservice, J2EE, Oops, Kafka, Active MQ, Oracle, Multithreading, Intellij Idea, Prepaid Card domain Applications development, Core design patterns, Data Structure Concepts, Collections, Cluster and Fault-tolerance Architecture, JVM fundamentals, Unix fundamentals, Spring Core Framework
Skills:
Agile Methodologies, Software Development Life Cycle, SAP for Utilities Energy Data Management Device Management, Designing and implementing scalable software architectures, Code quality assurance, Performance optimization, Integration of software components across diverse platforms
Skills:
Java, S3, Emr, Big Data Technologies, Kinesis, Sqs, Data Modeling, AWS cloud infrastructure, Firehose, Full-stack development, Generative AI, LLMs, Programmatic interfaces, Non-relational databases, In-vehicle or embedded software, Relational Databases, Near-real-time data ingestion and processing, Large-scale distributed systems, Technical strategy and architecture
Skills:
System Design, Gcp, Data Modelling, Distributed Systems, API design, AWS, high-throughput transactional systems, Infrastructure Design, Security Architecture, NoSQL databases, backend language, cost optimisation