Azure Data Engineer
Azure Data Engineer
Posted on :
26-08-2025
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1 Vacancy
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Job Description
Job Title: Azure data engineer
Locations: Bangalore Pune. Hyderabad Chennai Gurugaon
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:
- SQL Expertise Strong hands-on experience with DDL DML query optimization and performance tuning.
- Programming Languages Proficiency in Python or Java for data processing and automation.
- Data Modelling Good understanding of entity-relationship modelling star schema and Kimball methodology.
- Cloud Data Engineering Hands-on experience with Azure Synapse Azure Data Factory Azure Data Lake Databricks and Snowflake
- ETL Development Experience building scalable ETL/ELT pipelines and data ingestion workflows.
- Ability to learn and apply Snowflake concepts as needed.
- Communication Skills: Strong presentation and communication skills to engage both technical and business stakeholders in strategic discussions.
- Financial Services Domain (Optional): Knowledge of financial services.
Good to Have Skills:
DevOps & CI/CD Experience with Git Jenkins Docker and automated deployments.
Streaming Data Processing Experience with Spark Kafka or real-time event-driven architectures.
Data Governance & Security Understanding of data security compliance and governance frameworks.
Experience in AWS Knowledge of AWS cloud data solutions (Glue Redshift Athena etc.) is a plus.
SQL Expertise Strong hands-on experience with DDL, DML, query optimization, and performance tuning. - Programming Languages Proficiency in Python or Java for data processing and automation. - Data Modelling Good understanding of entity-relationship modelling, star schema, and Kimball methodology. - Cloud Data Engineering Hands-on experience with Azure Synapse, Azure Data Factory, Azure Data Lake, Databricks and Snowflake - ETL Development Experience building scalable ETL/ELT pipelines and data ingestion workflows. - Ability to learn and apply Snowflake concepts as needed. - Communication Skills: Strong presentation and communication skills to engage both technical and business stakeholders in strategic discussions. - Financial Services Domain (Optional): Knowledge of financial services.
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Employment Type
Full Time
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