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

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

Related Skills

Collaboration, Continuous Improvement Mindset, Data-Driven Business Intelligence, Data Engineering/Analytics, Data Visualization, Predictive Modeling, Problem Solving, Programming, Resourcefulness, Statistics, Story Telling

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