- Design and develop ELT / ETL to load data from internal sources into operational data stores, Azure data lake and data warehouse.
- Create APIs, data structures and schemas to store and retrieve data.
- Create and maintain data mappings, data definitions, architecture and data flow diagrams.
- Implement solutions to validate and test data quality.
- Build proof-of-concepts to determine viability of new processes and technologies.
- Deploy and manage code in non-prod and prod environments.
- Troubleshoot data related issues and fix defects.
- Optimize and performance tune databases and queries.
- Participate in code reviews and train other team members.
- Document code and create code templates based on industry best practices.
- Bachelor's Degree and/or equivalent experience required.
- Minimum 5 years of experience working as a Data Engineer, ETL Engineer, Data/ETL Architect or similar roles.
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data engineer - Bridgewater, United States - Stuart Stacy Associates, Inc.
Description
Job Description
Job DescriptionOverview
The Data Engineer will build data pipelines / data orchestrator and data structures for existing operational data stores, Azure data lake & data warehouse. They will develop proof-of-concepts to evaluate new technologies and suggest improved and better ways to re-architect existing data loading processes and data structures.
This is a hybrid position.
Responsibilities
Qualifications
Skills
• 5+ years of solid continuous experience in Python.
• 3+ years of continuous experience with Airflow.
• 3+ years of experience with Azure Data Factory (ADF) or similar.
• 3+ years of experience working with relational databases: Oracle, SQL Server, PostgreSQL, or similar.
• 3+ years of experience working with NoSQL databases: MongoDB, Cosmos DB, DocumentDB or similar
• 3+ years of experience writing SQL code.
• 3+ years of experience in Kimball Dimensional Modeling (Star-Schema).
• 2+ years of experience in columnar databases: Snowflake, Azure Synapse, or similar.
• 2+ years of Azure / AWS experience.