Opening For Data Architect

Tekskills; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Tekskills in Bengaluru is seeking a Data Engineer to design and build ETL pipelines for migrating party and relationship data. You will implement transformations, mapping, and validation aligned with the enterprise data model, and define data contracts and schemas to ensure CDC or dual-write consistency during phased cutover.

Develop ingestion processes using APIs and streaming (Kafka) or batch frameworks to ensure high performance and idempotency.

Qualifications

• Experience in data engineering within an enterprise context.
• Knowledge of data migration and CDC concepts.
• Familiar with data quality and data lineage frameworks.

Responsibilities

• Design and build ETL pipelines for migrating party and relationship data.
• Implement 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 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.

Skills

MongoDB

SQL

Python/Java/Scala

ETL frameworks

Kafka

Data governance

Tools

AWS Glue

Spark

Git

Jenkins/CICD

API integration

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).