Sr Data engineer

JD for Sr data engineer

Design and implement robust, scalable, and high-performance data solutions using modern technologies such as Snowflake / Databricks , dbt,   and Python to meet evolving business needs.

At least 6-8 years of professional experience in the field of data engineering with proven success in designing enterprise-grade solutions.

Experience automating marketing channel data pipelines including monitoring processes for efficient delivery across multiple sources.

Extensive background in designing and developing on Snowflake / Databricks Cloud Data Platform including architecture optimisation for performance.

Proficiency working with multi-cloud environments such as AWS,  for integrating diverse datasets securely.

Demonstrated ability to build complex ETL pipelines using SQL alongside databases (SQL Server, Oracle, Postgres, MySQL) as well as NoSQL systems.

Track record of designing efficient data models leveraging Medallion Architecture principles for structured analytics.

Experience supporting REST APIs for both inbound / outbound workflows enabling seamless integration between systems.

Excellent analytic skills working on both structured / unstructured datasets combined with strong communication abilities for non-technical audiences.