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Data Integration Engineer - II
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- We are looking for our next extraordinary Data Engineer to level up the Enterprise Information Management Team. The Data Engineer is a hybrid business-technical role within the Enterprise Information Management organization responsible for partnering with business and technical stakeholders to plan the delivery of data solutions including design, development, enhancement to ELT/ETL processes and components of data pipelines to support analysis, reporting, analytics, and data science.
- The role will focus on having a mindset of data quality, governance, and pipeline performance to ensure data integrity and information usability for internal decision-making.
- If you’re a hands-on professional in data architecture, data engineering, traditional and/or modern data warehousing, ELT/ETL, and/or big data pipeline and processing, you’re exactly who we’re seeking.
- 5+ years development with ETL tools (AWS Glue, dbt Labs, Talend/Stitch, Informatica, Fivetran, Matillion, or similar) including distributed architectures (Microservices, SOA, and RESTful APIs).
- 3+ years of AWS services such as Redshift, Aurora, Dynamo, Glue, S3, EMR, Lambda, Kinesis, and SNS/SQS.
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