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Key job responsibilities
We're also looking for someone with preferred experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions. Experience working independently on and completing end-to-end projects. Knowledge of professional software engineering and best practices for the full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence.A day in the life
Work/Life BalanceA day in the life- Use best practices for data modeling, ETL/ELT procedures, SQL, Redshift, and OLAP technologies to implement data structures.
- Collect and convert functional and business requirements into solutions that are operable, scalable, and well-suited to the overall data
- Determine best practices for creating data lineage from a range of data sources by analyzing source data systems. data sources.
- Engage in all phases of the development life cycle, including design, implementation, testing, delivery, documentation, support, and maintenance.
- Generate complete, reusable metadata and dataset documentation.
- Assess and decide on the implementation of datasets created and suggested by other data engineers.
- Experience in data engineering
- Experience with data modeling, warehousing and building ETL pipelines
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