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5 days ago
We are seeking a Senior Data Engineer to support a large financial institution in modernizing their platform and going through the architecture, ingestion and ETL process based on requirements.
This role will be responsible for designing data pipelines, orchestrating workflows, processing data, managing datasets and integrating with various APIs and CI/CD pipelines. In addition, this resource will troubleshoot and create appropriate documentation of all data components that meet the needs of customer-facing applications, business applications, internal user applications and business intelligence platforms.
Required Skills & Experience- At least 6+ years of experience within data engineering experience, not big data.
- Experience creating, updating and downloading jobs in Big Query.
- Experience with Pyspark, Dataflows and Dataproc, ETL to process and transform data.
- Experience with Apache Airflow orchestrating workflows.
- Experience building out data pipelines and utilizing Big Query.
- Experience with Restful or GraphQL APIs.
- Experience designing and deploying pipelines as well as experience with CI/CD pipelines, GitHub actions, Docker and Jenkins builds.
- Experience with Java or Python.
- MUST have previous financial or banking experience.
This role will involve designing and implementing data pipelines, integrating with various APIs and ensuring seamless data flow between systems.
The ideal candidate will possess strong technical skills and experience working with cloud-based data platforms.
In addition, they will be able to collaborate with cross-functional teams and communicate effectively with stakeholders.
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