Databricks + SQL

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Job Description a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; } Design and develop scalable data pipelines using

Databricks and SQL for analytics and reporting.

Experience: 5–8 years a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; }

Key Responsibilities

• Build ETL/ELT pipelines using Databricks (PySpark)
• Write optimized SQL queries for data transformation and analysis
• Work with Delta Lake / Lakehouse architecture
• Perform data ingestion, cleansing, and validation
• Optimize query performance and data workflows

Skills Required

• Databricks, Apache Spark
• Strong SQL expertise
• Python / PySpark
• Data modeling concepts
• Cloud platforms (Azure/AWS/GCP)

Good To Have

• Azure Data Factory / Airflow
• Power BI / Tableau
• Databricks certification