Data Engineering Consultants

Infosys Consulting, the management consulting business of Infosys, is looking to hire Data Engineer. Successful candidates will be part of a specialised customer-facing Advanced Analytics team in our rapidly expanding Automation & Artificial Intelligence Consulting Practice. They will work closely with our AI Consultants and SMEs to define and deliver best-in-class solutions.
You will be entrepreneurial, inspired by execution excellence, possess strong design skills creating client deliverables and bid documents, highly analytical, emotionally intelligent, a team player, and only satisfied when your work has a meaningful impact. You will help our clients identify and qualify opportunities to leverage automation to unlock business value and maintain a competitive edge.
Infosys Consulting offers exceptional opportunity for personal growth and, alongside client engagements, you will be recognized for your personal contribution to leading and developing new opportunities, developing thought leadership and service offerings in the domains of artificial intelligence and automation.
Responsibilities:
Build and maintain effective working relationships with a diverse range of stakeholders across business and technology functions.
Lead the design and development of data pipelines, leveraging strong analytical and problem-solving skills to address complex business challenges.
Work with a wide range of Data Engineering tools, emerging technologies, and IT, compliance, and security requirements.
Design, develop, and implement scalable technology solutions to solve business problems across multiple client engagements.
Collaborate with cross-functional teams to understand business requirements, client infrastructure, platforms, and strategic objectives, ensuring successful solution delivery and transition.
Partner with AI and Data teams to develop innovative solutions and contribute to data and AI strategy initiatives.
Apply strong logical thinking, structured problem-solving, and advanced database knowledge to transform data into actionable business insights.
Communicate effectively through verbal, written, and presentation channels with both technical and non-technical stakeholders.
Stay current with evolving technologies, industry trends, and best practices in data engineering and cloud-based data solutions.
Contribute to high-impact projects while collaborating with global teams to deliver data-driven business outcomes.
Requirements:
3 – 10 years of Python data engineering experience.
Experience in Developing Data Pipelines that process large volumes of data using Python, PySpark, Pandas etc., on AZURE.
Experience in developing ETL, OLAP based and Analytical Applications.
Experience in ingesting batch and streaming data from various data sources.
Strong Experience in writing complex SQL using any RDBMS (Oracle, PostgreSQL, SQL Server etc.)
Ability to quickly learn and develop expertise in existing highly complex applications and architectures.
Experience in Azure Data Factory (ADF), Azure Data Brick, Azure Synapse, Azure SQL, Azure DWH, Azure Data Lake Storage / Analytics, Azure Database Migration Services
Experience of DevOps and CD/CD tools.
Familiarity with Rest APIs
Clear and precise communication skills
Experience with CI/CD pipelines, branching strategies, & GIT for code management
Comfortable working in Agile projects
Bachelor's degree in computer science, information technology, or a similar field.
Location: PAN India

Work arrangement
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