GCP Senior Data Lead
Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Data Analysis
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. This role involves developing high-performance data pipelines, ensuring data reliability, and supporting enterprise-wide analytics initiatives by collaborating with cross-functional stakeholders.
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, and 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
- Strong hands-on experience with Dataflow, Big Query, Pub/Sub, 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.
- Bachelor’s or master’s degree in computer science, IT, or related field.
- 8+ years of experience in data engineering, with strong exposure to GCP.
Desired Qualifications
- GCP Certifications (Professional Data Engineer / Cloud Architect) are preferred.
- Experience with Big Data technologies (Hadoop, Spark) is preferred.
- Exposure to Machine Learning / AI workflows is preferred.
- Familiarity with DevOps practices & CI/CD pipelines is preferred.
Benefits
- Opportunity to supercharge your potential and find your career.
- Work at a place that knows that helping its customers stay on top starts by putting its people first.
- Join a global technology company with over 223,000 people across 60 countries.
- Deliver 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.
#GCP#Data Lead#Data Engineering#Data Pipelines#Data Architecture#Data Integration#Data Management#Data Quality#Data Governance#Data Security#Python#SQL
Company
HCLTech
Job Posted
1 month ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Senior
Locations
Bengaluru, India
Qualification
Bachelor, Master
Applicants
Be an early applicant