Lead Databricks Engineer Sme Exp: 10+ Years Pune (India)

Lead Databricks Engineer Sme Exp: 10+ Years Pune (India)

15 Aug
|
Atyeti
|
India

15 Aug

Atyeti

India

Key Responsibilities
Lead the modernization and migration of legacy data applications, ETL pipelines, and data platforms to Databricks

.
Assess existing applications, data pipelines, databases, and workloads and define appropriate migration strategies.
Design scalable

Databricks Lakehouse architectures using Delta Lake, Unity Catalog, Databricks SQL, and Apache Spark.
Develop and optimize

PySpark / Spark SQL workloads for large-scale data processing.
Modernize legacy ETL/data-processing workloads and convert them into Databricks-native pipelines.
Design

Bronze, Silver, and Gold / Medallion architecture for enterprise data platforms.
Work on batch and near-real-time data ingestion and transformation pipelines.
Implement data governance, security, access control, lineage, and data quality using

Unity Catalog

.
Optimize Databricks jobs for performance, scalability, reliability, and cost

.
Support migration from traditional data warehouses, Hadoop, on-premises platforms, or legacy ETL tools to Databricks.
Define migration frameworks, reusable patterns, coding standards, and best practices.




Collaborate with application, cloud, DevOps, data engineering, and business teams.
Perform technical POCs and evaluate modernization approaches.
Troubleshoot complex Spark/Databricks performance and production issues.
Provide technical mentoring and guidance to data engineering teams.

Mandatory Technical Skills
10+ years of experience in Data Engineering / Data Architecture.
Solid hands-on experience with

Databricks

.
Excellent knowledge of

Apache Spark, PySpark, and Spark SQL

.
Robust experience with

Delta Lake and Lakehouse architecture.
Hands-on experience with

Unity Catalog

.
Robust SQL and database concepts.
Experience in

ETL/ELT pipeline development and modernization

.
Experience migrating legacy/on-premises data workloads to cloud platforms.
Strong understanding of data modeling and data architecture.
Experience with

Databricks Jobs / Workflows / Pipelines

.
Experience with Git, CI/CD and DevOps practices

📌 Lead Databricks Engineer Sme Exp: 10+ Years Pune (India)
🏢 Atyeti
📍 India

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