Azure Data Engineer - Python / ETL

We are looking for a Senior Data Engineer with strong expertise in SQL, Python, Azure Synapse, Azure Data Factory, Snowflake, and Databricks. The ideal candidate should have a solid understanding of SQL (DDL, DML, query optimization) and ETL pipelines while demonstrating a learning mindset to adapt to evolving technologies.

Key Responsibilities :

• Collaborate with business and IT stakeholders to define business and functional requirements for data solutions.
• Design and implement scalable ETL / ELT pipelines using Azure Data Factory, Databricks, and Snowflake.
• Develop detailed technical designs, data flow diagrams, and future-state data architecture.
• Evangelize modern data modelling practices, including entity-relationship models, star schema, and Kimball methodology.
• Ensure data governance, quality, and validation by working closely with quality engineering teams.
• Write, optimize, and troubleshoot complex SQL queries, including DDL, DML, and performance tuning.
• Work with Azure Synapse, Azure Data Lake, and Snowflake for large-scale data processing.
• Implement DevOps and CI / CD best practices for automated data pipeline deployments.
• Support real-time streaming data processing with Spark, Kafka, or similar technologies.
• Provide technical mentorship and guide team members on best practices in SQL, ETL, and cloud data solutions.
• Stay up to date with emerging cloud and data engineering technologies and demonstrate a continuous learning mindset.

Required Skills & Qualifications :

Primary Requirements :

Good to Have Skills :

Primary Requirements :

Notice period : 30days

(ref : hirist.tech)