Data Engineer

Title : Data Engineer

Experience : 4 to 6 years

Location : Chennai

Must Have :

• Databricks

• Spark

• Snowflake Schema

• Azure

Role And Responsibilities :

• Develop, maintain, and monitor data pipelines, ensuring reliability and prompt resolution of failures as they occur.

• Collaborate with stakeholders to gather requirements, provide updates, and participate in design discussions.

• Design and implement custom ETL processes and automation scripts using AWS, Databricks, Python, and PySpark.

• Prepare architecture and design documentation for data engineering projects.

• Utilize expertise in cloud-based big data integration and infrastructure, with a strong focus on Databricks and the Apache Spark framework.

• Demonstrate proficiency in Python and other scripting languages for data engineering tasks.

• Leverage strong SQL and PL/SQL skills to write complex procedures and queries for dataframes and notebooks.

• Maintain a data engineering mindset to ensure quality, reliability, and efficiency across data systems and processes.

Minimum Qualifications :

• B.E. or Masters degree in Computer Science, Information Systems, Computer Engineering, or Systems Engineering.

• 4+ years of relevant professional experience in data engineering or related fields.

• At least 2 years of hands-on experience with Databricks, Spark, Databricks workflows, and Autoloader.

• Proficiency in additional scripting languages such as Scala and JavaScript, as well as experience with API development.

• Familiarity with data orchestration and ETL tools, including Alteryx, Snowflake, and Azure Data Factory.

• Experience with business intelligence tools such as Tableau, Power BI, or QuickSight.