| Data Engineer at Remote, Remote, USA |
| Email: [email protected] |
| From: Rakesh, Blue Ocean Ventures [email protected] Reply to: [email protected] Hi, Role : Data Engineer Location : Remote We are looking for a Data Engineer who will be responsible for helping design and develop data pipelines and the data product. You will work with SMEs, architects, analysts, data scientists and others to build solutions that integrate, process and store data from many of our internal and external enterprise data sources. You Will: Enable analytics and reporting by centralizing and integrating high quality, large, complex data sets in a highly performant and scalable cloud analytical platform Work closely with architects to design data lake architecture, data pipelines, and data publication strategy Implement data pipelines to ingest, cleanse and enrich data for analytics Design and implement secure, performant data models to meet the scalability and performance needs of data product Work with data scientists to enable data discovery and its curation for analytical purposes Build frameworks, standards & product features to enable self-service analytics Partner with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues You Have: Experience with Modern Data Engineering projects and practices: designing, building, and deploying scalable data pipelines 6 + years of experience in designing building deploying cloud native solutions 3 + years of experience with, Python, Snowflake, Docker/Kubernetes, CI/CD, Git, familiarity with AWS(E3, EMR), SQL:, DBT, Airflow, Databricks Experience working with architects to design data lake, data pipelines, and data product publication strategy Familiarity with: Data mesh architecture Developed data products/systems using large datasets to meet business and technical requirements Worked as a technical lead on the team Experience with advanced analytics and machine learning Familiarity with BI tools such as Tableau, PowerBI Bachelor's Degree in Computer Science, Engineering, related disciplines or equivalent work experience. Keywords: continuous integration continuous deployment business intelligence |
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| Mon Feb 27 21:13:00 UTC 2023 |