We are seeking an experienced Data Engineer to design, develop, and maintain scalable data platforms, data pipelines, and modern cloud-based analytics solutions. The ideal candidate will have strong expertise in data integration, ETL/ELT development, big data technologies, cloud platforms, and data governance.
Design and develop scalable ETL/ELT pipelines.Build and maintain data lakes, data warehouses, and Lakehouse architectures.Develop batch and real-time data processing solutions.Implement data quality checks, monitoring, and governance frameworks.Optimize database performance and large-scale data processing workloads.Automate data workflows and orchestration processes.Collaborate with analytics, AI/ML, and business teams to enable data-driven decision-making.Implement CI/CD practices for data engineering solutions.Ensure compliance with security, privacy, and governance standards.
Python, SQL, PySparkAzure Data Factory / AWS Glue / InformaticaDatabricksApache SparkApache KafkaData Warehousing ConceptsETL/ELT DevelopmentData ModelingAzure/AWS/GCPGit, CI/CD
Bachelor's/Master's degree in Computer Science, Engineering, or related field.Relevant cloud certifications preferred.
HCLTech is a global technology company, home to more than 226,600 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 2025 totaled $14.2 billion. To learn how we can supercharge progress for you, visit hcltech.com.
