Technical Lead
India
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Job Description
Technical Lead
Bengaluru, Karnataka

Job Summary

We are seeking a highly skilled AWS Data Developer with strong expertise in Python, PySpark, and AWS data services to design and build scalable data processing solutions. The ideal candidate will be responsible for developing robust ETL pipelines, optimizing data workflows, and leveraging AWS services to support business.

Key Responsibilities

  • Design and implement scalable data pipelines using AWS services
  • Develop ETL workflows using AWS Glue, PySpark, and Python
  • Build serverless data processing solutions using AWS Lambda
  • Orchestrate workflows using AWS Step Functions
  • Manage and optimize data storage in AWS S3
  • Work with relational databases like AWS RDS (MySQL)
  • Ensure data quality, validation, and governance
  • Optimize performance and cost of data pipelines
  • Debug and troubleshoot data-related issues
  • Collaborate with cross-functional teams (Data Analysts, Architects, DevOps)

Required Skills & Experience

  • 5+ years of experience in data engineering / AWS development
  • Strong proficiency in Python
  • Hands-on experience with PySpark for large-scale data processing
  • Expertise in AWS services:
    • AWS Glue (ETL jobs)
    • AWS Lambda
    • AWS Step Functions
    • AWS Athena
    • AWS S3
    • AWS RDS (MySQL)
  • Strong knowledge of SQL and data querying
  • Familiarity with IAM roles and AWS security best practices

Preferred Skills

  • AWS Certification (e.g., AWS Certified Data Engineer / Developer)
  • Experience with CI/CD pipelines and DevOps tools
  • Familiarity with Docker / Kubernetes

Key Responsibilities

We are seeking a highly skilled AWS Data Developer with strong expertise in Python, PySpark, and AWS data services to design and build scalable data processing solutions. The ideal candidate will be responsible for developing robust ETL pipelines, optimizing data workflows, and leveraging AWS services to support business.

Key Responsibilities

  • Design and implement scalable data pipelines using AWS services
  • Develop ETL workflows using AWS Glue, PySpark, and Python
  • Build serverless data processing solutions using AWS Lambda
  • Orchestrate workflows using AWS Step Functions
  • Manage and optimize data storage in AWS S3
  • Work with relational databases like AWS RDS (MySQL)
  • Ensure data quality, validation, and governance
  • Optimize performance and cost of data pipelines
  • Debug and troubleshoot data-related issues
  • Collaborate with cross-functional teams (Data Analysts, Architects, DevOps)

Required Skills & Experience

  • 5+ years of experience in data engineering / AWS development
  • Strong proficiency in Python
  • Hands-on experience with PySpark for large-scale data processing
  • Expertise in AWS services:
    • AWS Glue (ETL jobs)
    • AWS Lambda
    • AWS Step Functions
    • AWS Athena
    • AWS S3
    • AWS RDS (MySQL)
  • Strong knowledge of SQL and data querying
  • Familiarity with IAM roles and AWS security best practices

Preferred Skills

  • AWS Certification (e.g., AWS Certified Data Engineer / Developer)
  • Experience with CI/CD pipelines and DevOps tools
  • Familiarity with Docker / Kubernetes

Skill Requirements

We are seeking a highly skilled AWS Data Developer with strong expertise in Python, PySpark, and AWS data services to design and build scalable data processing solutions. The ideal candidate will be responsible for developing robust ETL pipelines, optimizing data workflows, and leveraging AWS services to support business.

Key Responsibilities

  • Design and implement scalable data pipelines using AWS services
  • Develop ETL workflows using AWS Glue, PySpark, and Python
  • Build serverless data processing solutions using AWS Lambda
  • Orchestrate workflows using AWS Step Functions
  • Manage and optimize data storage in AWS S3
  • Work with relational databases like AWS RDS (MySQL)
  • Ensure data quality, validation, and governance
  • Optimize performance and cost of data pipelines
  • Debug and troubleshoot data-related issues
  • Collaborate with cross-functional teams (Data Analysts, Architects, DevOps)

Required Skills & Experience

  • 5+ years of experience in data engineering / AWS development
  • Strong proficiency in Python
  • Hands-on experience with PySpark for large-scale data processing
  • Expertise in AWS services:
    • AWS Glue (ETL jobs)
    • AWS Lambda
    • AWS Step Functions
    • AWS Athena
    • AWS S3
    • AWS RDS (MySQL)
  • Strong knowledge of SQL and data querying
  • Familiarity with IAM roles and AWS security best practices

Preferred Skills

  • AWS Certification (e.g., AWS Certified Data Engineer / Developer)
  • Experience with CI/CD pipelines and DevOps tools
  • Familiarity with Docker / Kubernetes

Other Requirements

none
Apply now
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.