Data Engineer
Core
Designing, developing, and optimizing scalable data solutions, pipelines, and data warehousing initiatives for enterprise-wide data needs.
Role type
Senior Data Engineer
Builds
Robust data pipelines, ETL/ELT processes, and data lake architecture
Domain
Financial services / Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Python (Pandas, NumPy, Dask), SQL, Snowflake, Data transformation, ETL/ELT development, Data pipeline design, Performance tuning, Dimensional modeling, Data Lake architecture
Preferred skills
Apache Spark, Apache Airflow, Databricks, Microsoft Azure, Kafka, Git, Jupyter Notebooks, Tableau, Power BI, Java
Technologies
Snowflake, PostgreSQL, SQL Server, Sybase, DB2, Apache Spark, Apache Airflow, Databricks, Microsoft Azure, Kafka, Git, Jupyter Notebooks, Tableau, Power BI
Responsibilities
Design and maintain scalable data pipelines and ETL/ELT processes; Develop efficient data transformation workflows using Python and SQL; Optimize data models and query execution for analytics; Implement data quality checks, monitoring, and governance standards; Support data warehousing and data lake architecture initiatives; Participate in code reviews and documentation.
Seniority
Senior, hands-on IC
