- Partner with leadership, engineers, program managers and data scientists to understand data needs
- Apply proven expertise and build high-performance scalable data warehouses
- Design, build and launch efficient & reliable data pipelines to move and transform data (both large and small amounts)
- Securely source external data from numerous partners
- Intelligently design data models for optimal storage and retrieval
- Deploy inclusive data quality checks to ensure high quality of data
- Optimize existing pipelines and maintain of all domain-related data pipelines
- Ownership of the end-to-end data engineering component of the solution
- Support on-call shift as needed to support the team
- Design and develop new systems in partnership with software engineers to enable quick and easy consumption of data
- BS/MS in Computer Science or a related technical field
- 5+ years of Python or other modern programming language development experience
- 5+ years of SQL and relational databases experience
- 5+ years experience in custom ETL design, implementation and maintenance
- 3+ years of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, Digdag, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M)
- 3+ years experience with Data Modeling
- Experience working with cloud or on-premises Big Data/MPP analytics platform (i.e. Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar)
- 2+ years experience working with enterprise DE tools and experience learning in-house DE tools
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- Experience with more than one coding language
- Experience designing and implementing real-time pipelines
- Experience with data quality and validation
- Experience with SQL performance tuning and end-to-end process optimization
- Experience with anomaly/outlier detection
- Experience with notebook-based Data Science workflow
- Experience with Airflow
- Experience querying massive datasets using Spark, Presto, Hive, Impala, etc.
- Experience building systems integrations, tooling interfaces, implementing integrations for ERP systems (Oracle, SAP, Saleforce etc).
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