New York Mets
Sports
DataEngineer
“Data Engineer at New York Mets. Skills: Data Engineering, Python, SQL, Cloud Platforms. Ensure data sources are ingested, processed, distributed. Onboard new datasets and technologies”
Industry & Context.
Solve data ingestion and/or quality issues; Resolve data issues
Able to work flexible schedule during the baseball season
What They're Looking For.
Must Have
BS degree in Computer Science or a related field, 2+ years' experience in data engineering and data operations/support roles, Comfort level with both on-premise and cloud (GCP or Azure experience required) environments, Technical skills (Python, dbt, SQL, T-SQL, Linux), Experience extracting data from FTP and API data sources, Experience building data structures and data pipelines in the cloud, preferably Azure, Google Cloud Platform and on-prem, Experience in using modern Software Development Life Cycle (SDLC) and DevOps tools from development to production e. g. Terraform, Cloud Build, BitBucket, Ability to provide prompt support and resolution of data issues, Experience in implementing scalable data quality solutions, analytical skills
Nice to Have
Prior experience in or knowledge of baseball is a plus
What You'll Do.
Ensure data sources are ingested
Onboard new datasets and technologies
Troubleshoot data ingestion and quality issues
roll out new datasets
Enhance and bug fix existing datasets
Support quantitative analysts with deployments
Build and manage Data Model
Deploy and manage data quality solutions
Maintain a data catalog
Collaborate with global team
Work flexible schedule during baseball season
Coordinate with IT and Infrastructure team
How You'll Work.
Team & Collaboration
Actively collaborate with global team of Data Engineering/Support professionals; Coordinate with IT and Infrastructure team
Communication Scope
Communicate data issues to all stakeholders
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