Senior Data Engineer

About the Company

HCLTech is a global technology company, home to more than 226,300 people across 60 countries, delivering industry-leading capabilities centered around AI, digital, engineering, cloud and software, 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, High Tech, Semiconductor, Telecom and Media, Retail and CPG, Mobility and Public Services. Consolidated revenues as of 12 months ending September 2025 totaled $14.5 billion. To learn how we can supercharge progress for you, visit hcltech.com.

Website - http://www.hcltech.com

Industry - IT Services and IT Consulting

Company size - 10,001+ employees

Headquarters - Noida, Uttar Pradesh

Specialties

Manufacturing, Aerospace & Defense, Financial Services, Telecom, Retail & CPG, Life Sciences & Healthcare, Media & Entertainment, Travel, Transportation & Logistics, Automotive, Government, Energy & Utilities, Consumer Electronics, Healthcare, Cloud, Digital, Engineering, AI, Technology and Services, and Software

Hiring: Senior Data Engineer

Expert in GCP & BigQuery?

The Stack: BigQuery, Dataflow, Python, SQL.

The Mission: Scale our data infra to the next level.

Skill -

Google Cloud Platform (GCP) and BigQuery

• Hands-on experience with GCP services and BigQuery, including designing, building, and optimizing cloud-based data solutions

Workflow Orchestration (Cloud Composer or Airflow)

• Practical use of workflow automation tools to orchestrate data movement and processing

Data Processing Tools (Dataflow, Dataproc, Datafusion, PubSub)

• Expertise in implementing and optimizing data pipelines using at least one GCP data processing tool

Programming (Python or PySpark)

• Advanced programming skills for data pipeline development and ETL processes using Python or PySpark

SQL or DBT

• Proficiency in SQL and DBT for data modeling, transformation, and ETL best practices

Data Warehousing and ETL Concepts

• Understanding of data warehousing principles and ETL architecture in cloud environments