Our client builds innovative and compelling digital products that empower teachers and students across the country. They are looking for a Data Engineer to join their team in NY. In this role, yoursquoll be Building well-tested and optimized ETL data pipelines for both full and delta extraction. Collaborating with data scientists to store, aggregate, and calculate captured usersrsquo work Contributing to leading industry data standards, such as Caliper Analytics or xAPI Improving our deployment and testing automation data pipelines Requirements BSMS in Computer Science, Data Science, or equivalent 2 years of professional software development or data engineering experience Strong CS and data engineering fundamentals Proven fluency in SQL and a development language such as Python Understanding of ETLELT pipelines and Data Warehousing design, tooling, and support Understanding of different data formatting (JSON, CSV, XML) and data storage techniques (3NF, EAV Model, Star Schema, Data Vault) Strong communication skills in writing, conversation, and maybe silly gifs Other desired skills (not required) Storage AWS Storage Services (Redshift, Redshift Spectrum, S3, Glacier, DynamoDB), Parquet, Postgres ETLBI Matillion, Looker Experience with encryption at rest, including multiple approaches and tradeoffs Associated topics: data architect, data center, data integration, data integrity, data quality, erp, mongo database administrator, sql, sybase, teradata
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