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Job description
Design, develop, and maintain scalable data pipelines using PySpark and Python. Work with Hadoop and Big Data technologies for large-scale data processing.
Write optimized and complex SQL queries for data transformation and analysis. Build and manage ETL pipelines and data warehouse solutions.
Collaborate with business stakeholders to translate requirements into data solutions. Ensure data quality, reliability, and performance across systems.
Company
Tech, Software & IT Services • Corporate Services
Indium is a global digital engineering company specializing in helping enterprises leverage cutting-edge technologies like Generative AI, Data & AI, and Intelligent Automation to drive innovation and achieve business goals. They offer custom solutions across Product Engineering, Quality Engineering, and Application Development, partnering with clients to build, scale, and optimize their technology initiatives. Serving Fortune 500 and Global 2000 companies across key industries including Financial Services, Healthcare, and Manufacturing, Indium delivers high-impact results with a customer-centric approach. With a team of over 5,000 associates worldwide, they provide expertise and support across North America, India, the UK, and the Asia-Pacific region, enabling businesses to thrive in an AI-first world.
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