Job Description
This is a wonderful opportunity to join a global retail powerhouse currently embarking on a massive, multi-year transformation of its enterprise data ecosystem.
Our client is moving away from legacy Snowflake environments toward a cutting-edge Unified Spark Lakehouse architecture on AWS and Databricks. They are looking for a Senior Data Engineer in Bangalore to own critical data assets and drive this modernization.
The Mission
In this role, you won’t just be maintaining pipelines—you will be a key architect in building a unified analytics foundation that connects Digital, Store, and Marketplace experiences on a global scale.
The Tech Stack
- Core: Databricks, Apache Spark, Python, Advanced SQL.
- Cloud: AWS (S3, Lambda, EMR).
- Orchestration & DevOps: Apache Airflow, CI/CD (Jenkins), Docker, Terraform.
- Streaming: Kafka, Kinesis, or Spark Streaming.
What You’ll Do
- Design and operate scalable ETL/ELT pipelines fo...
Our client is moving away from legacy Snowflake environments toward a cutting-edge Unified Spark Lakehouse architecture on AWS and Databricks. They are looking for a Senior Data Engineer in Bangalore to own critical data assets and drive this modernization.
The Mission
In this role, you won’t just be maintaining pipelines—you will be a key architect in building a unified analytics foundation that connects Digital, Store, and Marketplace experiences on a global scale.
The Tech Stack
- Core: Databricks, Apache Spark, Python, Advanced SQL.
- Cloud: AWS (S3, Lambda, EMR).
- Orchestration & DevOps: Apache Airflow, CI/CD (Jenkins), Docker, Terraform.
- Streaming: Kafka, Kinesis, or Spark Streaming.
What You’ll Do
- Design and operate scalable ETL/ELT pipelines fo...
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