Data Engineer

 Posted 4 months ago
     
0-2 years experience
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AI Summary

The Data Engineer will be responsible for performing core data engineering tasks such as data modeling, developing data pipelines, and building cubes, while also working extensively with relational databases for schema design and optimization. This role involves building data warehouses using technologies like ETL/ELT, SQL, Data Lake, Spark, Azure Synapse, and Databricks.

Job Description:

Data Engineer needed for Planet Equity Group located in Westlake, OH. Perform data engineering tasks, including data modeling, data pipeline development, and cube development. Work with relational databases, including schema design, queries, views, store procedures, and performance optimization. Data governance and master data management. Build data pipelines that execute ETL/ELT processes to move and integrate data between data sources Conduct DevOps activities, including code reviews, testing, alerting, documenting, retrospectives, incident analysis. Work with Azure's core data and analysis services, including Data Factory, Synapse Analytics, Data Explorer, Power BI, etc. Build data warehouses, including the use of ETL/ELT, SQL, Data Lake, Spark, Azure Synapse, Databricks, tabular cubes. Will provide services to client located through the U.S.

 Requires a Bachelor’s degree in Computer Science or a related field. No prior professional experience is required; however, the degree program must have included coursework in object‑oriented programming, system architecture, computer networks, advanced data structures, and computer and network security.  Position requires willingness to travel and relocate as needed. Min. salary of $111,571.00

Employee Type:

Regular

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