We are looking for a skilled Data Engineer with 3–6 years of experience in building scalable data pipelines and analytics solutions using Azure Databricks, PySpark/Python, and SQL. The ideal candidate will have strong expertise in optimizing data workflows, ensuring data quality, and enabling actionable business insights through robust data engineering practices.

Primary Skills:

• Azure Databricks – strong hands-on expertise

• PySpark / Python – proficiency in writing scalable data transformations

• SQL – advanced querying, transformations, and optimization skills

• Building scalable data pipelines – design, implement, and maintain

• Data workflow optimization – performance tuning and efficiency

• Data quality assurance – ensuring accuracy, consistency, and reliability

• Analytics solutions – enabling actionable insights from data

Preferred / Additional Skills:

• Azure ecosystem knowledge (Data Lake, Synapse, Azure Functions, ADF)

• Understanding of Big Data concepts and distributed systems (beyond Databricks)

• Experience with orchestration tools (Airflow, Azure Data Factory, etc.)

• Cloud DevOps practices (CI/CD for data pipelines, monitoring)

• Knowledge of business intelligence and analytics integration

• Exposure to data governance and security practices

• Familiarity with other languages/tools (Scala, R, or Java for Spark)