Data Engineer - Spark / Azure Databricks

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.

(ref : hirist.tech)