Opening For Data Architect

Tekskills; Chennai District; On-site; INR 900,000 - 1,400,000; Full time

Job summary

Tekskills is seeking a Data Engineer in Chennai to design and build ETL pipelines for migration of party and relationship data, and to implement data transformations aligned with the enterprise data model.

You will define data contracts, ensure CDC or dual-write consistency during phased cutovers, and optimize ingestion processes using APIs, streaming (Kafka) and batch frameworks, while collaborating with data architects and business analysts to ensure governance and data quality.

Qualifications

• Experience in MongoDB and SQL in enterprise migrations.
• Proficiency with Python/Java/Scala for data processing.
• Experience with data migration, ETL tools and API integration.
• Knowledge of data governance and data quality frameworks.

Responsibilities

• Design and build ETL pipelines for migration of party and relationship data.
• Implement data transformations, mapping, and validation aligned with the enterprise data model.
• Define data contracts and schemas; ensure CDC or dual-write consistency during phased cutover.
• Develop and optimize ingestion processes using APIs, streaming (Kafka) and batch frameworks.
• Collaborate with data architects and business analysts to align data pipelines with business logic.
• Execute data quality, reconciliation, and audit processes for accuracy and regulatory compliance.

Skills

MongoDB

SQL

Python/Java/Scala

ETL tools (AWS Glue, Spark)

Kafka

Git

Jenkins/CI-CD

JSON data modeling

Data governance

Tools

AWS Glue

Spark

Kafka

Git

Jenkins

JSON

Job description

Data Engineer

Responsibilities

• Design and build ETL pipelines for migration of party and relationship data


• Implement data transformations, mapping, and validation aligned with the enterprise data model


• Define data contracts and schemas; ensure CDC (change data capture) or dual-write consistency during phased cutover.


• Develop and optimize ingestion processes using APIs, streaming (Kafka), or batch frameworks to ensure performance and idempotency


• Collaborate closely with data architects and business analysts to align data pipelines with business logic.


• Execute data quality, reconciliation, and audit processes to ensure accuracy and regulatory compliance.

Technical Skills

• Proficiency in MongoDB, SQL (Oracle/MySQL/PostgreSQL), and Python/Java/Scala.


• Experience with data migration, ETL tools (AWS Glue, Spark), and API-based integration


• Familiar with Kafka, Git, Jenkins/CICD, and JSON data modeling.


• Strong grasp of data lineage, data quality frameworks, and governance adherence.

Experience:

• 47 years in data engineering, with at least 2+ years in MongoDB or NoSQL migrations in an enterprise context.


• Experience in migration or integration within banking customer systems (CRM/CDM/FCR).