Python Data Engineer
3B Staffing LLC
Python Data Engineer
Strong Python and SQL skills, ETL development experience with Microsoft SSIS, and familiarity with Agile, GitLab, and JIRA in a large enterprise environment.
Location: Hybrid - Lake Mary, FL or Pittsburgh, PA (Onsite 4x/week)
Duration: 12 Months (Contract)
Work Authorization: GC / USC
Interview Process: 2 rounds - Final interview is onsite Job Description:
We are seeking a Python Data Engineer to support a leading financial institution in delivering high-quality data solutions in a hybrid enterprise environment. The ideal candidate will have strong expertise in building and maintaining ETL pipelines, with hands-on experience in Python and SQL. This role is onsite 4 days per week and open to local candidates only.
Key Responsibilities:
Strong Python and SQL skills, ETL development experience with Microsoft SSIS, and familiarity with Agile, GitLab, and JIRA in a large enterprise environment.
Location: Hybrid - Lake Mary, FL or Pittsburgh, PA (Onsite 4x/week)
Duration: 12 Months (Contract)
Work Authorization: GC / USC
Interview Process: 2 rounds - Final interview is onsite Job Description:
We are seeking a Python Data Engineer to support a leading financial institution in delivering high-quality data solutions in a hybrid enterprise environment. The ideal candidate will have strong expertise in building and maintaining ETL pipelines, with hands-on experience in Python and SQL. This role is onsite 4 days per week and open to local candidates only.
Key Responsibilities:
- Design, build, and optimize ETL pipelines using Python and SQL.
- Work with relational databases and large-scale datasets to ensure reliable data integration.
- Develop and manage workflows in Microsoft SSIS .
- Collaborate with stakeholders and cross-functional teams in an Agile environment.
- Participate in code reviews, documentation, and deployment practices using GitLab and JIRA .
- Troubleshoot and resolve data quality issues in a proactive and timely manner.
- Strong proficiency in Python for data engineering and automation.
- Expertise in SQL and relational database systems .
- Hands-on experience with Microsoft SSIS for ETL development.
- Experience working in a large enterprise financial environment .
- Familiarity with Agile methodologies , GitLab , and JIRA .
- Experience with data warehousing concepts or cloud data platforms .
- Familiarity with data quality frameworks and testing best practices.
Vacancy posted 4 days ago
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