Data Engineer
5 days ago
Experience: 2 - 4 years
Location: Chennai
Minimum Qualifications:
- B.E./ master's in computer science, Information systems, or Computer engineering, Systems Engineering with 2+ years of relevant experience
- Minimum of 2+ years of work experience using Databricks, Spark and Databricks workflows, Autoloader.
- Knowledge of other scripting languages such as Scala, JavaScript, and API development.
- Knowledge of other Data Orchestration/ETL tools - Alteryx, Snowflake, Azure Data Factory etc.
- Knowledge of any of BI Tools - Tableau, Power BI, QuickSight.
Job Description:
- 2-3 years of relevant work experience
- To work in the capacity of AWS Databricks, Python, PySpark Hands-On developer
- Work with stakeholders for regular updates, requirement understanding and design discussions. Hands-on experience on designing and developing scripts for custom ETL processes and automation in AWS, data bricks, Python, PySpark etc.
- Should be skilled in creating architecture and design documentation and have knowledge of data engineering tools & technologies
- Expertise in Cloud-related Big Data integration and infrastructure Tec stack using Databricks & Apache Spark framework
- Well-versed with scripting languages – Python
- Well-versed with Data Orchestration/ETL.
- Good SQL/PL SQL programming Skills – writing complex procedures and queries for Dataframes and Notebooks
- Very good data engineering mindset to build and maintain pipelines, and ability to closely monitor critical pipeline batch jobs and resolve failures on an urgent basis.
- Manage and mentor junior developers in adopting and implementing the data bricks workflows.
- Excellent communication skills is a must
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