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 up-to-date cloud technologies and platforms to build scalable, distributed data solutions
- Partner with data scientists, analysts, an
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