Azure Data Engineer

6 days ago

Bengaluru, Karnataka, India ANRGI TECH Full time ₹ 8,00,000 - ₹ 24,00,000 per year

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.

Primary Requirements
Required Skills & Qualifications:

  • 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.

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