Azure Data Engineer

7 days ago

Gurugram, India Worksconsultancy Full time

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.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 discussionsNotice period : 30days (ref:hirist.tech)

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