05 Feb
Innovalus
Bengaluru
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 for massive enterprise workloads.
Optimize data products for high-performance analytics and KPI accuracy.
Build event-driven, real-time architectures to capture consumer insights.
Collaborate with global stakeholders to translate complex business needs into reliable data models.
Who You Are
Experienced: 5–8 years in Data Engineering or Big Data.
Expert: Deep hands-on mastery of Databricks and AWS .
Certified: Ideally, you hold a Databricks (Associate/Skilled) or AWS Data Analytics certification.
Proven: You have experience in large-scale cloud migrations or platform modernization.
Why This Role?
This is a high-visibility position within a "top-tier" global brand. It offers a clear path toward Staff/Lead Engineering roles and the chance to work on one of the most sophisticated retail data platforms in the world.
📌 Senior Data Engineer (Bengaluru)
🏢 Innovalus
📍 Bengaluru
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