Join a dynamic team as a Senior Data Engineer , where you'll design, build, and optimize data pipelines that power insights and drive decision-making. Your work will lay the foundation for advanced analytics and innovation across the organization.
Key Responsibilities :
Build and maintain scalable ETL pipelines for diverse data sources.
Collaborate with data scientists and business teams to ensure seamless data flow.
Develop and optimize cloud-based data platforms (AWS, Azure, GCP).
Ensure data quality, reliability, and security across systems.
Monitor and troubleshoot pipeline issues to ensure performance.
Skills You’ll Need :
3–5+ years in data engineering or similar roles.
Proficiency in Python, SQL, and big data tools (Spark, Hadoop).
Experience with data modeling and database systems (e.g., PostgreSQL, Redshift, Snowflake).
Hands-on expertise with cloud platforms (AWS, Azure, GCP).
Familiarity with CI / CD for data pipelines and version control (Git).
Bonus :
Knowledge of real-time data streaming (Kafka, Kinesis).
Exposure to analytics tools (Tableau, Power BI).
Experience with data governance and security best practices.
Why Join Us?
Minimal travel (up to 20%).
Values-driven, innovative culture.
Collaborative environment with opportunities to impact key business decisions.
Apply now and help shape the backbone of data innovation!