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Senior Data Engineer Databricks Lakehouse AWS or Azure

Senior Data Engineer Databricks Lakehouse AWS or Azure

Litmus7

0 years

0 Lacs

kochi kerala india

Posted:1 week ago| Platform:

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Skills Required

data databricks aws azure engineering processing spark pyspark architecture governance analytics ai design sql ml airflow reliability efficiency photon auto unity audit compliance pipeline monitoring

Work Mode

On-site

Job Type

Full Time

Job Description

We are seeking a dynamic Data Engineer with strong hands-on experience in Databricks Lakehouse Platform to build and optimize scalable data solutions on AWS or Azure. The ideal candidate will have a solid foundation in data engineering and distributed data processing (Spark / PySpark), with a deep understanding of Delta Lake, Medallion Architecture, and Databricks-native tools. You will play a key role in designing modern ELT pipelines, ensuring data quality, performance, and governance, and collaborating across teams to deliver high-impact analytics and AI-ready datasets.

Key Responsibilities

Design and implement end-to-end data pipelines in Databricks leveraging Spark (PySpark), SQL, and Delta Lake for large-scale data ingestion, transformation, and delivery.
Apply Medallion Architecture (Bronze / Silver / Gold) to structure and optimize data flows for analytics and ML use cases.
Develop and operationalize ELT frameworks using Databricks Workflows, Airflow, or Azure Data Factory, ensuring reliability and scalability.
Optimize Databricks clusters, jobs, and queries for performance and cost efficiency, using tools like Photon, Job Clusters, and Auto-Optimize.
Collaborate with data analysts, scientists, and architects to design data models and expose curated datasets via Databricks SQL, dbt, or BI tools.
Enforce data quality, validation, and lineage through Delta Live Tables (DLT) or Unity Catalog.
Implement data governance, access control, and audit compliance aligned with enterprise policies.
Troubleshoot pipeline and performance issues using Databricks monitoring, CloudWatch, or Azure Monitor.
Contribute to continuous improvement by evaluating new Databricks features, runtime upgrades, and best practices.

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Senior Data Engineer Databricks Lakehouse AWS or Azure