Associate - Data Warehousing - IN
The role is responsible for gathering, transforming, and storing data through data acquisition, metadata management, data cleansing, data transformation, data distribution and data recovery/backup planning.
Key Responsibilities and Duties
They are expected to have specialized knowledge in various ETL (Extract, transform, load) tools such as Informatica, Hyperion etc.
The applicability of this function is internal as it facilitates leveraging data for decision making purposes.
Educational Requirements
University (Degree) Preferred
Work Experience
2+ Years Required; 3+ Years Preferred
Physical Requirements
Physical Requirements: Sedentary Work
Career Level
6IC
What You Will Do
Build and maintain scalable, production-grade data pipelines using Python-based ETL frameworks and tools
Develop and optimize Python scripts to transformation, and orchestration workflows
Design and implement robust data processing solutions across cloud platforms to support analytics and machine learning initiatives
Ensure data quality, consistency,
and reliability through comprehensive testing, validation, and monitoring
Transform raw data into clean, structured, production-ready datasets that power business intelligence and AI/ML models
Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions
Support and maintain existing Python scripts and AI models that are critical to business operations
What Makes This Position Unique
Your work directly supports core data pipelines and AI models that power essential business operations and decision-making
Deep focus on Python development for data engineering
This is an immediate need to ensure uninterrupted data operations and maintain delivery commitments across the organization
Work with contemporary cloud technologies and platforms to build scalable, distributed data solutions
Partner with data scientists, analysts, and business teams to translate requireme
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