Senior Technical Lead

HCLTech
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📍 Chennai, India

About this role

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

Frequently Asked Questions

Is the salary disclosed for the Senior Technical Lead position at HCLTech?
The salary for this Senior Technical Lead role at HCLTech is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Senior Technical Lead position at HCLTech located?
This Senior Technical Lead role at HCLTech is based in Chennai, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
How do I apply for the Senior Technical Lead position at HCLTech?
Click the "Apply Now" button on this page. You will be redirected to HCLTech's official application portal hosted on successfactors where you can submit your application directly.
When was the Senior Technical Lead job at HCLTech posted?
This Senior Technical Lead position at HCLTech was posted on Oct 1, 2026. Apply as soon as possible — early applications are often reviewed first.
Senior Technical Lead
HCLTech
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