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Strong hands-on experience in: • Databricks (Lakehouse platform, notebooks, jobs, clusters) • PySpark / Apache Spark • Advanced SQL (joins, window functions, performance tuning) • Solid understanding of ETL concepts, data warehousing, and data modeling • Experience building scalable data pipelines for structured and semi-structured data • Familiarity with data lake / delta lake architecture • Good understanding of performance optimization techniques in Spark and SQL • Experience with version control (Git) and deployment practices • Strong problem-solving and analytical skills
Key Responsibilities
Good to Have • Experience with cloud platforms (AWS) • Exposure to CI/CD pipelines (Jenkins) • Knowledge of Delta Lake, Unity Catalog, or similar governance tools • Understanding of data quality frameworks / monitoring tools • Experience working in Agile / Scrum teams"
At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.
HCLTech is a global technology company, home to more than 230,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2026 totaled $14.8 billion.
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