Databricks Engineer

Job Description – Lead/Senior Databricks Engineer Experience: 8+ Years Location: Pune / Hyderabad (Hybrid) Employment Type: Full-Time Role Summary We are looking for a skilled Data Engineer with strong experience in Databricks and Azure Cloud to design, develop, and optimize scalable data pipelines and modern data platforms.

The ideal candidate should have expertise in big data technologies, ETL development, and cloud-based data engineering.

Key Responsibilities

Design and develop scalable ETL/ELT pipelines using Databricks and Py. Spark. Build and optimize data ingestion frameworks from multiple data sources. Develop data pipelines using Azure Data Factory (ADF). Work with Azure Data Lake Storage (ADLS Gen2) for storing and processing large datasets. Implement Delta Lake and Lakehouse architecture concepts.

Optimize Spark jobs for performance and scalability. Develop data transformations using SQL and Py. Spark. Collaborate with data architects, analysts, and business stakeholders. Implement CI/CD pipelines and deployment automation. Ensure data quality, security, and governance standards.

Required Skills

Strong hands-on experience with Databricks Proficiency in Py. Spark and Spark SQL SSIS, Essbase, SQL Server, Data Warehouse, Stored Procedure, Views Triggers Experience with Microsoft Azure Good knowledge of: Azure Data Factory (ADF) Azure Data Lake Storage (ADLS) Delta Lake Azure Synapse Analytics Strong SQL and data modeling skills Experience with Git and CI/CD processes Knowledge of performance tuning and optimization Preferred Skills Experience with: Streaming using Spark Structured Streaming Kafka/Event Hub Data Warehousing concepts DevOps and Infrastructure as Code Knowledge of: Data Governance Data Quality frameworks Medallion Architecture (Bronze, Silver, Gold) Educational Qualification Bachelor's degree in Computer Science, Information Technology, or related field.

Relevant Azure or Databricks certifications are preferred.

Nice to Have

Certifications Databricks Certified Data Engineer Associate Microsoft Certified Azure Data Engineer Associate Requirements Required Skills Strong hands-on experience with Databricks Proficiency in Py. Spark and Spark SQL SSIS, Essbase, SQL Server, Data Warehouse, Stored Procedure, Views Triggers Experience with Microsoft Azure Good knowledge of: Azure Data Factory (ADF) Azure Data Lake Storage (ADLS) Delta Lake Azure Synapse Analytics Strong SQL and data modeling skills Experience with Git and CI/CD processes Knowledge of performance tuning and optimization