Senior Technical Lead
India
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Job Description
Senior Technical Lead
Chennai, Tamil Nadu

Job Summary

Analytics Engineer

Role

Analytics Engineer

Experience

7 - 10 years

Primary Stack

AWS Lakehouse & Analytics (Iceberg, Athena, Lake Formation, Glue, SageMaker)

 

Key Responsibilities

Key Responsibilities

  • Design and build scalable data lakehouse architectures on AWS using Apache Iceberg as the open table format.
  • Develop and optimize analytics query layers using Amazon Athena, including performance tuning, partitioning, and cost optimization.
  • Implement fine-grained data access, governance, and permissions using AWS Lake Formation.
  • Build and maintain ETL/ELT pipelines using AWS Glue (Jobs, Crawlers, Catalog) for ingestion, transformation, and curation of data.
  • Support ML feature engineering and model-ready data pipelines in collaboration with data science teams using Amazon SageMaker.
  • Own analytics/dimensional data modelling (star/snowflake schemas, semantic layers, fact & dimension design) to support BI and reporting needs.
  • Apply DBT (where applicable) for transformation workflows, testing, and documentation of analytics models.
  • Partner with data engineers, data scientists, BI teams, and client stakeholders to translate business requirements into robust analytics solutions.
  • Ensure data quality, lineage, and governance standards are met across the lakehouse environment.
  • Contribute to architecture decisions, code reviews, and best practices for the analytics engineering team.

Skill Requirements

Must-Have Technical Skills

  • Strong hands-on experience with AWS analytics services: Glue, Athena, Lake Formation, S3.
  • Practical experience with Apache Iceberg (or similar open table formats such as Delta Lake/Hudi) in a production lakehouse setup.
  • Experience with Amazon SageMaker for supporting ML/analytics workflows and feature pipelines.
  • Solid grounding in analytics/dimensional data modelling — star schema, snowflake schema, slowly changing dimensions, semantic modelling.
  • Strong SQL skills and experience optimizing queries on large-scale distributed data.
  • Experience with Python and/or PySpark for data transformation and pipeline development.
  • Understanding of data governance, cataloging, and access control concepts on AWS.

Good to Have

  • Hands-on experience with DBT (data build tool) for transformation, testing, and documentation.
  • Exposure to CI/CD for data pipelines and infrastructure-as-code (Terraform/CloudFormation).
  • Familiarity with BI tools such as QuickSight, Tableau, or Power BI.
  • AWS certifications (Data Analytics Specialty, Machine Learning Specialty).

Other Requirements
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Information at a Glance

Why HCLTech?

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 223,000 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 June 2026 totaled $14.8 billion.