Senior Data Engineer

We are looking for a skilled Data Engineer with 6+Years of experience in Python, PySpark, AWS, Azure Databricks, SQL, and Power BI to develop scalable data pipelines, process large datasets, and build interactive dashboards.

Key Responsibilities:

• Develop and maintain ETL/ELT pipelines using Python and PySpark.
• Build and optimize data processing workflows in Azure Databricks.
• Write complex SQL queries and perform data transformations.
• Implement data ingestion, cleansing, validation, and quality checks.
• Work with Azure Data Lake Storage and Delta Lake.
• Develop interactive Power BI dashboards and reports using DAX and Power Query.
• Optimize data pipelines, Spark jobs, and Power BI reports.
• Collaborate with stakeholders to deliver reliable data solutions.

Required Skills

• Strong knowledge of Python, PySpark, and SQL.
• Hands-on experience with Aws, Azure Databricks.
• Experience in ETL/ELT and data warehousing concepts.
• Proficiency in Power BI, DAX, and Power Query.
• Knowledge of Azure Data Lake Storage, Delta Lake, and Git.