The Job

GCP Senior Data Lead

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

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In short

We are seeking a Senior Data Engineer with extensive GCP expertise to design and build scalable data ecosystems. This role involves developing high-performance data pipelines, ensuring data reliability, and supporting analytics initiatives, collaborating with cross-functional teams to translate business needs into robust data solutions.

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, Big Query, Pub/Sub, Cloud Storage, and Cloud SQL/Fire store.
  • Build and optimize data integration workflows for 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.
  • 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

  • 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 and 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.
  • 8+ years of experience in data engineering, with strong exposure to GCP.

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

  • Opportunity to supercharge potential and find career spark at HCLTech.
  • Work at a place that knows that helping its customers stay on top starts by putting its people first.
  • Be part of a global technology company with over 223,000 employees across 60 countries.
  • Deliver industry-leading capabilities centered around digital, engineering, cloud and AI.
#GCP#Data Engineering#Data Pipelines#Data Architecture#Big Data#Cloud#Analytics
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Company

HCLTech

Job Posted

1 month ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Senior

Locations

Bengaluru, India

Qualification

Bachelor

Applicants

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