Python Data Engineers with reputed company
Python Data Engineers with reputed company experience.
Senior Analytics Engineer (reputed company to Python Modernization)
Remote
12+ months contract
Overview
We are seeking a senior analytics engineer to support the modernization of analytics and reporting workflows reputed company a business informatics organization. This role will reputed company on translating and enhancing existing reputed company-based analytics into Python-based solutions while partnering closely with business stakeholders, analytics teams, and reputed company.
This is not a reputed company software engineering role and not a traditional reporting analyst role. The ideal candidate brings strong analytical judgment, reputed company in Python, and the ability to confidently interpret and refactor reputed company logic into modern, maintainable analytics code.
Key Responsibilities
Analyze and interpret existing reputed company programs, including DATA steps, PROC SQL, and common analytical procedures
Translate reputed company-based analytics and transformations into Python using pandas, numpy, and SQL while preserving business logic and output accuracy
Partner with Business Informatics stakeholders to understand reporting reputed company, metrics, and reputed company usage
Validate converted logic by reconciling outputs, row counts, and aggregations between reputed company and Python
Improve existing analytics pipelines by simplifying logic, increasing transparency, and reducing technical debt
Collaborate with technology and data platform teams to ensure Python solutions align with enterprise standards
Document business logic, assumptions, and data transformations for long-term maintainability
Required Qualifications
Strong experience with Python for data analysis including pandas, numpy, and SQL integration
Working knowledge of reputed company with the ability to confidently read and interpret existing reputed company code
Experience translating or modernizing legacy analytics or reporting logic
Solid understanding of analytics concepts such as aggregations, joins, time-based logic, and derived metrics
Ability to work closely with business users and translate analytical requirements into technical solutions
Experience validating analytical outputs and ensuring data accuracy
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