GCP Data Lead

HCLTech
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📍 Hudson, United States

About this role

Job Summary

The Senior Data Engineer will be responsible for designing, developing, and maintaining scalable data pipelines and solutions on Google Cloud Platform (GCP). The role focuses on data ingestion, transformation, orchestration, and governance across enterprise data systems. The engineer will work closely with architects, data analysts, and business stakeholders to implement high-quality, performance-optimized data solutions in BigQuery and related GCP services.

Key Responsibilities

  • Design and implement end-to-end data pipelines using Cloud Dataflow (Python/Apache Beam) for batch and streaming data.
  • Develop, optimize, and maintain BigQuery stored procedures (SPs), SQL scripts, and user-defined functions (UDFs) for complex transformations and business logic implementation.
  • Build and manage data orchestration workflows using Cloud Composer (Airflow) with appropriate operators and dependencies.
  • Establish secure and efficient connections to source systems for data ingestion and integration.
  • Manage data ingestion workflows from on-premise and cloud sources into Google Cloud Storage (GCS) and BigQuery.
  • Execute history data migration from legacy data warehouses (preferably Snowflake, Teradata, Netezza, Oracle, SQL Server) to BigQuery, ensuring accuracy and performance optimization.
  • Design and maintain data validation and testing frameworks for ensuring data quality and reliability across pipelines.
  • Implement data governance practices, including metadata management, lineage tracking, and access control.
  • Collaborate with data analysts and architects to define scalable and reusable data models, views, and semantic layers in BigQuery.
  • Troubleshoot data pipeline failures, perform root cause analysis, and implement preventive measures.
  • Optimize cost and performance of GCP workloads using best practices for BigQuery and Dataflow.
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Skill Requirements

  • Strong hands-on experience in Google Cloud Platform (GCP) with expertise in BigQuery, Dataflow, Cloud Composer, and GCS.
  • Proficient in Python programming for data engineering (Dataflow pipelines, validation scripts, automation).
  • Expertise in BigQuery SQL, Stored Procedures, Views, and User Defined Functions (UDFs).
  • Experience with data migration from on-premise or cloud data warehouses (preferably Snowflake, Teradata, Netezza, Oracle, SQL Server) to BigQuery.
  • Strong understanding of ETL/ELT frameworks, data modeling, and schema design (Star/Snowflake).
  • Familiarity with data governance, metadata, and lineage frameworks on GCP.
  • Knowledge of data validation and testing techniques, including reconciliation, rule-based checks, and automation.
  • Hands-on experience in workflow orchestration using Cloud Composer (Airflow) with custom operators.
  • Strong SQL tuning and BigQuery performance optimization skills.
  • Good communication and collaboration skills to work with cross-functional teams in Agile environments.
  • Proven ability to troubleshoot, optimize, and enhance complex data workflows at scale.

Other Requirements

Frequently Asked Questions

Is the salary disclosed for the GCP Data Lead position at HCLTech?
The salary for this GCP Data 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 GCP Data Lead position at HCLTech located?
This GCP Data Lead role at HCLTech is based in Hudson, United States. 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 GCP Data 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 GCP Data Lead job at HCLTech posted?
This GCP Data Lead position at HCLTech was posted on Sep 30, 2026. Apply as soon as possible — early applications are often reviewed first.
GCP Data Lead
HCLTech
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