5+ years of experience in Data Engineering and large-scale data platform development.
Strong proficiency in SQL, Python, Spark, Databricks, and distributed data processing platforms.
Experience designing and implementing enterprise ETL/ELT pipelines.
Experience with Azure Data Factory, Synapse, Databricks, or equivalent cloud data services.
Strong knowledge of data modeling, data governance, data quality, and metadata management.
Experience integrating data from multiple applications and operational systems.
Understanding of both batch and near real-time data architectures
5+ years of experience in Data Engineering and large-scale data platform development.
Strong proficiency in SQL, Python, Spark, Databricks, and distributed data processing platforms.
Experience designing and implementing enterprise ETL/ELT pipelines.
Experience with Azure Data Factory, Synapse, Databricks, or equivalent cloud data services.
Strong knowledge of data modeling, data governance, data quality, and metadata management.
Experience integrating data from multiple applications and operational systems.
Understanding of both batch and near real-time data architectures
AI/ML, SQL, Cloud data platforms, data storage ecosystem, ETL, Azure Kubernetes, Azure Databricks, GitHub
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.
