Apex Systems · 2 days ago
Data Engineer
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Responsibilities
Design, develop, optimize, and maintain data architecture and pipelines following ETL principles and business goals.
Architect data sets into data lake, warehouses, and data marts.
Perform ETL work using tools like Informatica for data governance, replication, and data movement.
Solve complex data problems to deliver insights for business goals.
Create data products to support analytics and data science teams.
Advise, consult, mentor, and coach other data professionals on data standards.
Lead the evaluation and deployment of new tools and processes for analytic data engineering.
Collaborate with business analysts and architects on technical architectures for enterprise projects.
Qualification
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Required
5+ years of experience with delivering large scale analytics projects
Experience in leading requirements gathering, design, and architecting complex solutions such as cloud migration and integration of data from multiple source systems
Dimensional modeling exposure (Kimball, etc.)
Worked on large Data Engineering initiatives from start to finish
Formal ETL tooling experience (Informatica, DataStage, etc.)
Azure experience with a focus on data/migration side and creating pipelines
Oracle experience preferred OR strong SQL with ETL
Bachelor’s degree in computer science
Preferred
Experience in designing and/or developing analytics applications using tools like Power BI, QlikView, SAS, RapidMiner, or similar products
Experience in Agile/Scrum development with DevOps methodologies for rapid prototyping of cloud solutions
Experience with DataBricks OR Snowflake
Python/Pandas/PySpark
Company
Apex Systems
Apex Systems, a division of On Assignment, provides organizations with IT staffing solutions to address gaps in their current workforce.
Funding
Current Stage
Late StageLeadership Team
Recent News
2024-05-21
2024-04-19
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