Data Engineer – Lakehouse Migration & Modernization [6+yrs]

Data Engineer – Lakehouse Migration & Modernization [6+yrs] — Data Engineer – Lakehouse Migration & Modernization – Bengaluru

Join a fast‑growing data team to redesign enterprise data pipelines using modern Lakehouse platforms. The role drives large‑scale migration and modernization projects, delivering high‑performance, scalable solutions for global stakeholders.

What You’ll Do
Design and implement end‑to‑end Lakehouse data pipelines.
Optimize SQL queries and tune performance for massive datasets.
Build and maintain Spark jobs and Kafka integrations.
Deploy data services on Kubernetes with CI/CD automation.
Collaborate with global product and analytics teams to meet delivery targets.
Troubleshoot and resolve issues in distributed data workflows.
Document architecture and best‑practice guidelines.

What You Need
6+ years of hands‑on data engineering experience.
Proven expertise with Lakehouse architectures and large‑scale migrations.
Strong Python or Java coding skills; solid DSA foundation.
Advanced SQL proficiency, including query optimization.
Experience with Apache Spark, Kafka, and CI/CD pipelines.
Kubernetes (K8s) deployment and management experience.
Good grasp of SDLC and software engineering best practices.

Good to Have
Experience with Snowflake, Apache Iceberg, or Hadoop ecosystem.
Knowledge of JSON, Avro, Parquet, and schema evolution.
Familiarity with SCD Type 2, data partitioning, and clustering.

The Opportunity
You’ll work in a tightly‑knit, globally distributed team delivering mission‑critical data migration projects that shape the company’s future data strategy.