The Job

GCP Senior Data Engineer

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

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In short

We are looking for a Senior Data Engineer with deep expertise in Google Cloud Platform (GCP) to design, build, and optimize scalable data ecosystems. This role is critical in enabling data-driven decision-making by developing high-performance data pipelines, ensuring data reliability, and supporting enterprise-wide analytics initiatives. You will work closely with cross-functional stakeholders including data scientists, analysts, and business teams to translate business requirements into robust data solutions.

Responsibilities

  • Design, build, and maintain scalable and high-performance data pipelines on GCP.
  • Develop and manage modern data architectures to support batch and real-time processing needs.
  • Implement reusable frameworks to standardize data ingestion and transformation processes.
  • Leverage GCP services such as Dataflow, Big Query, Pub/Sub, Cloud Storage, Cloud SQL / Fire store.
  • Build and optimize data integration workflows ensuring efficiency and scalability.
  • Optimize storage and query performance across GCP data platforms.
  • Ensure cost optimization, performance tuning, and scalable data design.
  • Implement robust 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 understand requirements and deliver actionable insights.
  • Translate business problems into technical data solutions.
  • Monitor, troubleshoot, and ensure high availability and performance of data pipelines.
  • Implement logging, alerting, and observability frameworks.
  • 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.
  • Proactively recommend improvements to enhance system performance and scalability.

Requirements

  • Bachelor’s or master’s degree in computer science, IT, or related field.
  • 5-6 + years of experience in data engineering, with strong exposure to GCP.
  • Strong hands-on experience with Dataflow, Big Query, Pub/Sub.
  • Strong hands-on experience with Cloud Storage, Cloud SQL, Fire store.
  • Expertise in ETL/ELT processes.
  • Expertise in Data warehousing & data modeling.
  • Strong programming skills in Python, SQL.
  • Strong analytical and problem-solving skills.
  • Attention to detail and commitment to data accuracy.
  • Ability to work independently and in cross-functional teams.
  • Excellent communication and stakeholder management skills.

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.
  • A place that knows that helping its customers stay on top starts by putting its people first.
#Data Engineering#GCP#Data Pipelines#Big Data#ETL#Data Warehousing#Python#SQL#Cloud
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Company

HCLTech

Job Posted

1 month ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Senior

Locations

Chennai, India

Qualification

Bachelor, Master

Applicants

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