Track Lead - Extract Transform Load (ETL), Data Lakes
India
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Job Description
Track Lead - Extract Transform Load (ETL), Data Lakes
Noida, Uttar Pradesh

Job Summary

AWS AI/ML Engineer\\\\r\\\\nRole Overview\\\\r\\\\nWe are seeking a highly skilled professional with expertise in AWS AI/ML services and strong knowledge of AWS data services. The ideal candidate will design, develop, and deploy scalable machine learning solutions on AWS, leveraging data-driven insights to solve complex business problems. This role requires hands-on experience with AWS cloud-native tools, data pipelines, and AI/ML frameworks.\\\\r\\\\n\\\\r\\\\nKey Responsibilities\\\\r\\\\nDesign and implement machine learning models using AWS AI/ML services such as Amazon SageMaker, AWS Comprehend, Rekognition, Lex, and Polly.\\\\r\\\\n\\\\r\\\\nBuild and optimize data pipelines using AWS data services like Amazon S3, Redshift, Glue, Kinesis, and DynamoDB.\\\\r\\\\n\\\\r\\\\nCollaborate with data scientists, engineers, and business stakeholders to translate requirements into scalable ML solutions.\\\\r\\\\n\\\\r\\\\nDeploy, monitor, and maintain ML models in production environments ensuring performance, reliability, and cost efficiency.\\\\r\\\\n\\\\r\\\\nImplement best practices for data governance, security, and compliance within AWS.\\\\r\\\\n\\\\r\\\\nContinuously evaluate emerging AWS services and integrate them into existing architectures to enhance capabilities.\\\\r\\\\n\\\\r\\\\nRequired Skills & Qualifications\\\\r\\\\nStrong expertise in AWS AI/ML services (SageMaker, Comprehend, Rekognition, etc.).\\\\r\\\\n\\\\r\\\\nProficiency in AWS data services (S3, Redshift, Glue, Kinesis, DynamoDB).\\\\r\\\\n\\\\r\\\\nSolid programming skills in Python, R, or Java, with experience in ML frameworks (TensorFlow, PyTorch, Scikit-learn).\\\\r\\\\n\\\\r\\\\nKnowledge of data engineering concepts including ETL, data lakes, and real-time streaming.\\\\r\\\\n\\\\r\\\\nExperience with cloud architecture design and DevOps practices (CI/CD pipelines, CloudFormation, Terraform).\\\\r\\\\n\\\\r\\\\nStrong problem-solving skills and ability to work in cross-functional teams.\\\\r\\\\n\\\\r\\\\nPreferred Qualifications\\\\r\\\\nAWS Certified Machine Learning – Specialty or AWS Certified Data Analytics – Specialty.\\\\r\\\\n\\\\r\\\\nExperience with MLOps practices for model lifecycle management.\\\\r\\\\n\\\\r\\\\nFamiliarity with big data technologies (Spark, Hadoop).\\\\r\\\\n\\\\r\\\\nPrior experience in deploying ML solutions at scale in production environments.

Key Responsibilities

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Skill Requirements

1. Proficient In Etl Processes And Data Lake Architecture.
2. Strong Knowledge Of Aws Core Services, Aws Rds, And Aws Analytics.
3. Experience In Developing And Managing Data Pipelines.
4. Excellent Problem-Solving And Communication Skills.
5. Ability To Lead And Mentor Teams Effectively.

Other Requirements

1. Aws Certified Solutions Architect Associate (Optional But Valuable)
2. Aws Certified Big Data Specialty (Optional But Valuable
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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 226,300 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 December 2025 totaled $14.5 billion.
23 Benefits At HCLTech, we believe in empowering our employees with comprehensive benefits that support their professional growth and enhance their well-being. When you sign up for a career with us, you gain access to: https://rmkcdn.successfactors.com/147eb21f/a701dca9-f32d-4fc9-9447-6.svg Industry-benchmarked compensation https://rmkcdn.successfactors.com/147eb21f/b0c54381-ddcc-4a33-9b35-9.svg Best-in-class healthcare benefits https://rmkcdn.successfactors.com/147eb21f/b73027be-7aae-4d36-a090-4.svg Personal time off https://rmkcdn.successfactors.com/147eb21f/d5b4fdfd-2e99-4e26-9878-9.svg Maternity and paternity benefits https://rmkcdn.successfactors.com/147eb21f/3d42b0fc-4652-435a-9ece-c.svg Access to skills / higher education programs/resources https://rmkcdn.successfactors.com/147eb21f/aeddeaf2-9e25-4584-ad11-d.svg Discounts on products and services via Benefit Box https://rmkcdn.successfactors.com/147eb21f/a9609a3b-2700-4b3c-9d90-a.svg Participate in CSR programs and live life with a purpose https://rmkcdn.successfactors.com/147eb21f/c6e33851-710f-4634-bd69-f.svg Opportunities to grow and advance your career Note: The benefits listed above vary depending on the nature of your employment and the country where you work. Some benefits may be available in some countries but not in all.