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Key skills for this role
Design, develop, and maintain ETL/ELT data pipelines using PySpark and SQL in Databricks notebooks.
Process large-scale datasets and ensure reliable and efficient data transformations.
Implement data lake and data warehouse architectures using Databricks Delta Lake and Delta Live Tables .
Build and manage Medallion Architecture (Bronze, Silver, Gold layers) for structured data processing.
Optimize Spark jobs and queries for performance, scalability, and cost-efficiency.
Manage cluster configurations, partitioning strategies, and caching mechanisms .
Integrate Databricks solutions with cloud services such as: Azure Data Factory (ADF) Azure Data Lake Storage (ADLS) Gen2 AWS S3 or other cloud storage platforms
Azure Data Factory (ADF)
Azure Data Lake Storage (ADLS) Gen2
AWS S3 or other cloud storage platforms
Implement data quality checks, validation frameworks, and monitoring processes .
Ensure data security, encryption, masking, and lineage tracking .
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Build and manage automated workflows and scheduling using Databricks Jobs, Airflow, or CI/CD pipelines.
Integrate with DevOps tools such as Azure DevOps or Jenkins for continuous integration and deployment.
Work closely with data engineers, analysts, and business stakeholders to translate business requirements into scalable data solutions.
Participate in Agile development processes including sprint planning and technical discussions.
3–5+ years of experience with Databricks, Apache Spark, and Python (PySpark) .
Strong experience building scalable ETL/ELT pipelines .
Advanced knowledge of Spark SQL or Databricks SQL for data transformation and analysis.
Hands-on experience with Azure Databricks, AWS, or Google Cloud Platform (GCP) .
Experience with Delta Lake and Medallion Architecture (Bronze/Silver/Gold layers) .
Strong understanding of data modeling and data warehouse concepts .
Proficiency with Git and CI/CD tools such as Azure DevOps or Jenkins .
Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or a related field .
Strong problem-solving and analytical skills
Ability to handle large-scale data processing environments
Good communication and collaboration skills in Agile teams
Private Indian IT services company helping enterprises modernize legacy systems, adopt AI, and accelerate digital transformation.
Visit company websiteJobs and hiring trendsFull-time
Mid · 4+ years experience
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