What are the responsibilities and job description for the Senior Data Engineer position at Flybridge Staffing?
Flybridge Staffing is currently searching for a Data Engineer for a client located in the Palm Beach Gardens area. This is a direct-hire position that will work off a hybrid schedule of 2 days remote. This person will design systems that supply high-performance datasets for advanced analytics.
Experience:
- BA degree and 5 years of Data Engineering experience.
- Strong experience building ETL data pipelines for on-premises SQL Server 2017 or newer.
- Deep understanding of the development of data pipelines with either SSIS or Python.
- Experience building data pipelines using third-party external data sources.
- Broad experience with SQL Server, including Columnstore, etc.
- Extensive experience using SSMS and T-SQL to create and maintain SQL Server tables, views, functions, stored procedures, and user-defined table types.
- Experience with data modeling indexes, Temporal tables, CLR, and Service Broker.
- Experience in partitioning tables and indexes, and performance improvement with Query Analyzer.
- Experience writing C#, PowerShell, and Python.
- Experience with source control integration with GitHub, BitBucket, and Azure DevOps.
- Experience working in an Agile and Kanban SDLC.
- Experience with cloud-based data management solutions such as Snowflake, Redshift.
- Experience with Python programming is a plus. Libraries such as Pandas, Numpy, csv, Traceback, JSON, PyODBC, Math-Are nice to have.
- Experience writing design documentation such as ERDs, Data Flow Diagrams, and Process Flow Diagrams.
- Experience with open-source database engines such as Clickhouse, ArcticDB, and PostGreSQL is a plus.
Responsibilities:
- Collaborate effectively with Stakeholders, Project Managers, Software Engineers, Data Analysts, QA Analysts, DBAs, and Data Engineers.
- Build and maintain data pipelines based on functional and non-functional requirements.
- Proactively seek out information and overcome obstacles to deliver projects efficiently.
- Ensure that data pipelines incorporate best practices related to performance, scaling, extensibility, fault tolerance, instrumentation, and maintainability.
- Ensure that data pipelines are kept simple and not overly engineered.
- Produce and maintain design and operational documentation.
- Analyze complex data problems and engineer elegant solutions.
****NO SPONSORSHIP AVAILABLE**** US Citizen, GC, EAD only please. If your background aligns with the above details and you would like to learn more, please submit your resume to jobs@flybridgestaffing.com or on our website, www.flybridgestaffing.com and one of our recruiters will be in touch with you ASAP.
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