Alight · Up-noida-candor Techspace Tower 1, INPrepare for this interview
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Our story At Alight, we believe a company's success starts with its people. At our core, we Champion People, help our colleagues Grow with Purpose and true to our name we encourage colleagues to "Be Alight." Our Values: Champion People - be empathetic and help create a place where everyone belongs. Grow with purpose - Be inspired by our higher calling of improving lives. Be Alight - act with integrity, be real and empower others. It's why we're so driven to connect passion with purpose. Alight helps clients gain a benefits advantage while building a healthy and financially secure workforce by unifying the benefits ecosystem across health, wealth, wellbeing, absence management and navigation. With a comprehensive total rewards package, continuing education and training, and tremendous potential with a growing global organization, Alight is the perfect place to put your passion to work. Join our team if you Champion People, want to Grow with Purpose through acting with integrity and if you embody the meaning of Be Alight. Learn more at careers.alight.com . Software Engineer with 4 years of experience in ETL and Data Warehousing. The ideal candidate will have strong hands-on expertise in SQL development across Hive, Spark, and Impala, along with a solid understanding of cloud ecosystems. This role requires proficiency in big data technologies and scripting, as well as flexibility to collaborate during U.S. business hours. AWS certification is a plus. Core Responsibilities: Design, develop, and maintain ETL workflows and data pipelines for large-scale data processing. Write and optimize medium-complexity SQL queries on Hive, Spark, and Impala for use case-driven scenarios. Develop and maintain scripts using HIVE, PySpark, Spark, and Scala for data transformation and processing. Implement and troubleshoot Unix Shell scripts for automation and system tasks. Collaborate with cross-functional teams to ensure data integrity and performance. Work in alignment with U.S. business hours for meetings and deliverables. Contribute to cloud-based data solutions and ensure best practices in data engineering.
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