Azure Data Engineer

We are looking for 9-12 years of experienced Data Engineer with strong expertise in Python, SQL, Spark, Azure Data Engineering, and modern data platforms. The ideal candidate should have hands-on experience designing and developing scalable ETL/ELT pipelines, working with Azure Databricks, Azure Data Factory, Synapse Analytics, and implementing Data Lake/Lakehouse architectures.

Required Skills

• 6+ years of strong hands-on experience with Python, SQL, and Spark/PySpark.
• Experience with Azure Data Factory and Azure Databricks.
• Experience with Azure Synapse Analytics or equivalent cloud data platforms.
• Strong understanding of ETL/ELT concepts and data integration.
• Good knowledge of Data Warehousing and Dimensional Modeling.
• Experience with at least one modern cloud data warehouse such as Snowflake, Synapse, Redshift, or BigQuery.
• Strong understanding of Data Lake and Lakehouse architecture.
• Experience with Git and CI/CD practices.
• Experience with workflow orchestration tools such as Airflow or Azure Data Factory.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
• Develop data transformation and processing solutions using Python, SQL, and Apache Spark/PySpark.
• Build and manage data pipelines using Azure Data Factory (ADF) and Azure Databricks.
• Work with Azure Synapse Analytics or equivalent cloud data platforms for data processing and analytics.
• Design and implement Data Lake and Lakehouse architectures for structured and unstructured data.
• Develop efficient data ingestion, transformation, cleansing, and integration processes.
• Work with cloud data warehouses such as Snowflake, Azure Synapse, Redshift, or BigQuery.
• Apply data warehousing concepts, dimensional modeling, and schema design