The Job

GCP Senior Data Engineer

Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Software Engineering

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In short

We are seeking a Senior Data Engineer with deep expertise in Google Cloud Platform (GCP) to design, build, and optimize scalable data ecosystems. The role involves developing high-performance data pipelines, ensuring data reliability, and supporting enterprise-wide analytics initiatives by working closely with cross-functional stakeholders.

Responsibilities

  • Design, build, and maintain scalable and high-performance data pipelines on GCP.
  • Develop and manage modern data architectures for batch and real-time processing.
  • Implement reusable frameworks for data ingestion and transformation.
  • Leverage GCP services like Dataflow, BigQuery, Pub/Sub, Cloud Storage, Cloud SQL/Firestore.
  • Optimize storage and query performance, and ensure cost optimization and scalability.
  • Implement data quality checks, validation frameworks, and monitoring mechanisms.
  • Ensure adherence to data governance, security, and compliance standards.
  • Partner with data scientists, analysts, and business stakeholders to deliver actionable insights.
  • Monitor, troubleshoot, and ensure high availability and performance of data pipelines.
  • Provide technical leadership and mentorship to junior engineers.
  • Drive best practices in coding, architecture, and deployment.
  • Stay updated with the latest GCP innovations and data engineering best practices.

Requirements

  • Bachelor’s or master’s degree in computer science, IT, or related field.
  • 5-6+ years of experience in data engineering.
  • Strong exposure to GCP.
  • Hands-on experience with Dataflow, BigQuery, Pub/Sub.
  • Hands-on experience with Cloud Storage, Cloud SQL, Firestore.
  • Expertise in ETL/ELT processes.
  • Expertise in Data warehousing & data modeling.
  • Strong programming skills in Python and SQL.

Desired Qualifications

  • GCP Certifications (Professional Data Engineer / Cloud Architect).
  • Experience with Big Data technologies (Hadoop, Spark).
  • Exposure to Machine Learning / AI workflows.
  • Familiarity with DevOps practices & CI/CD pipelines.

Benefits

  • Supercharge your potential.
  • Find your career.
  • Find your spark.
  • Work at a place that puts its people first.
  • Global technology company with over 223,000 people across 60 countries.
  • Delivering industry-leading capabilities centered around digital, engineering, cloud and AI.
  • Work with clients across all major verticals including 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.
#data engineering#GCP#data pipelines#data integration#data quality#data governance#data security#Python#SQL#Big Data#Machine Learning#AI#DevOps
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Company

HCLTech

Job Posted

1 month ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Senior

Locations

Pune, India

Qualification

Bachelor, Master

Applicants

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