Sr. Data Engineer

6+ years of experience in Data Engineer to design and implement scalable data solutions.

Deep expertise in cloud data warehousing, ETL / ELT processes, data modeling, and business intelligence.

Support design and implementation of end-to-end data solutions leveraging AWS Redshift, Apache Airflow, dbt, and other modern data tools including DataBricks.

Experience in Azure Data Stack can also be considered.

Develop data models and implement data pipelines to ingest, transform, and load data from various sources into data warehouse.

Create and maintain Apache Airflow DAGs to orchestrate complex data workflows and ETL processes.

Implement data transformations and modeling using dbt to ensure data quality and consistency.

Design and optimize Redshift clusters for performance, scalability, and cost-efficiency.

Collaborate with data analysts and scientists to expose data through Tableau dashboards and reports.

Establish data governance practices and ensure data lineage / data quality / data security / compliance.

Mentor junior data engineers and promote best practices across the data team .

Skills Required

Databricks, ELT, Etl, Aws, Apache Airflow, Data Modeling, dbt, Business Intelligence, Tableau, Redshift