Job Title: Senior Data Engineer
Location: Coimbatore
Experience: 5+ Years
Job Type: Full-Time
Design, develop, and maintain robust data pipelines using Airflow and AWS services.
Implement and manage data warehousing using Databricks and PostgreSQL.
Automate recurring tasks using Git and Jenkins.
Build and optimize ETL processes leveraging AWS tools like S3, Lambda, AppFlow, and DMS.
Create interactive dashboards and reports using Looker.
Collaborate with various teams to ensure seamless integration of data infrastructure.
Ensure the performance, reliability, and scalability of data systems.
Use Jenkins for CI/CD and task automation.
Experience as a senior individual contributor on data-heavy projects.
Strong command of building data pipelines using Python and PySpark.
Expertise in relational database modeling, ideally with time-series data.
Proficiency in AWS services such as S3, Lambda, and Airflow.
Hands-on experience with SQL and database scripting.
Familiarity with Databricks and ThoughtSpot.
Experience using Jenkins for automation.
Proficiency in data analytics/BI tools such as Power BI, Tableau, Looker, or ThoughtSpot.
Experience with AWS Glue, AppFlow, and data transfer services.
Exposure to Terraform for infrastructure-as-code.
Experience in data quality testing.
Previous interaction with U.S.-based stakeholders.
Strong ability to work independently and lead tasks effectively.
Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
5+ years of relevant experience.
Databricks
PostgreSQL
Python & PySpark
AWS Stack (S3, Lambda, Airflow, DMS, etc.)
Power BI / Tableau / Looker / ThoughtSpot
Git / Jenkns / CI-CD tools