Data Integration Developer
- Develop and maintain existing ETL code
- Translate new requirements into new ETL code and processes
- Perform Peer Code Reviews and Unit/QA Tests
- Develop and implement automated procedures to ensure data quality and data completeness
- Performance tuning of ETL processes
- Ability to perform data analysis in different source systems
- Troubleshoot and debug issues in both data and ETL processes; provide practical ad-hoc and long-term solutions and root cause analysis.
- Stay on top and showcase knowledge in the industry's latest trends and technologies in data integration
- Be on a rotational on-call schedule to handle support issues
- Participate in daily stand-up meetings
- Create and maintain requirement specifications, design/mapping specifications and ETL documentation
- Collaborate with other teams, team members and stakeholders.
- Three or more years of ETL/ELT development. Nice To have: Informatica PowerCenter 10.x (either on-premise or cloud).
- Hands-on knowledge of Linux, (OS, scripting, tools)
- Hands-on knowledge of working in an AWS environment (Glue, Lambda, S3, EC2, Redshift, RDS)
- Hands-on knowledge of SQL Server and MongoDB is a must, other database environments (e.g. Oracle, Snowflake) are nice to have.
- Hands-on knowledge of working with unstructured and structured data in different formats (Flatfile, JSON, XML, Parquet, etc)
- Experience in working with API's, Terraform, Python
- Knowledge of working with a Customer Data Platform are nice to have (e.g. Segment)
- Knowledge of the capabilities and limitations of data integration tools (most importantly Informatica PC).
- Ability to work with stakeholders, to understand detailed requirements and then design data integration workflows that meet that vision.
- Ability to take (constructive) feedback as a clarification of understanding and to redevelop with that in mind.
- Be passionate about resolving data quality and data delivery pain points through great design.
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