Software Developer

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

• 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 modern cloud technologies and platforms to build scalable, distributed data solutions
• Partner with data scientists, analysts, and business teams to translate requirements into technical solutions
• Opportunity to establish best practices for data quality, pipeline orchestration, and automation standards

What You Bring

• [6+] years of hands-on experience in data engineering with strong Python development skills
• Expert-level proficiency in Python for data processing, including libraries such as Pandas, NumPy, and similar frameworks
• Proven experience building and maintaining ETL/ELT pipelines using Python-based frameworks (e.g., Apache Airflow, Glue,lambda)
• Strong understanding of data modeling, data warehousing concepts, and database technologies (SQL and NoSQL)
• Hands-on experience with cloud platforms (AWS) and cloud-native data services
• Familiarity with version control (Git), CI/CD practices, and collaborative development workflows
• Understanding of machine learning workflows and requirements for ML-ready datasets
• Strong analytical and problem-solving abilities with attention to data accuracy and reliability
• Excellent communication skills and ability to work effectively with technical and non-technical stakeholders