Role: ETL/Data Engineer (Python Programming)
Location: NYC,NY (Hybrid)
Duration: 12+ month CTH
W2 ONLY
Needs:
ETL
INFORMATICA
PYTHON
JD:
Ai-ML exposure. Building and fine tuning the machine language and models. Not a full seasoned ai - ML. NOT looking for a heavy hitter AI person, someone that has exposure/familiarity.
Snowflake is a plus. Secondary skill, the snowflake ecosystem
Hand on data Engineer. Data science is handled by the business so this is the pipes and plumbing. ETL, modeling
Strong Python is a must coupled with Informatica
Finance prefered, not required
HR systems a Plus
Role description:
The successful candidate will be a key member of the HR Technology team, responsible for developing and maintaining global HR applications with a primary focus on HR Analytics ecosystem. This role combines technical expertise with HR domain knowledge to deliver robust data solutions that enable advanced analytics and data science initiatives.
Key Responsibilities:
Manage and support HR business applications, including problem resolution and issue ownership
Design and develop ETL/ELT layer for HR data integration and ensure data quality and consistency
Provide architecture solutions for Data Modeling, Data Warehousing, and Data Governance
Develop and maintain data ingestion processes using Informatica, Python, and related technologies
Support data analytics and data science initiatives with optimized data structures and AI/ML tools
Manage vendor products and their integrations with internal/external applications
Gather requirements and translate functional needs into technical specifications
Perform QA testing and impact analysis across the BI ecosystem
Maintain system documentation and knowledge repositories
Provide technical guidance and manage stakeholder communications
Required Skills & Experience:
Bachelor s degree in computer science or engineering with 4+ years of delivery and maintenance work experience in the Data and Analytics space.
Strong hands-on experience with data management, data warehouse/data lake design, data modeling, ETL Tools, advanced SQL and Python programming.
Exposure to AI & ML technologies and experience tuning models and building LLM integrations.
Experience conducting Exploratory Data Analysis (EDA) to identify trends and patterns, report key metrics.
Extensive database development experience in MS SQL Server/ Oracle and SQL scripting.
Demonstrable working knowledge of tools in CI/CD pipeline primarily GitLab and Jenkins
Proficiency in using collaboration tools like Confluence, SharePoint, JIRA
Analytical skills to model business functions, processes and dataflow within or between systems.
Strong problem-solving skills to debug complex, time-critical production incidents.
Good interpersonal skills to engage with senior stakeholders in functional business units and IT teams.
Experience with Cloud Data Lake technologies such as Snowflake and knowledge of HR data model would be a plus.
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