GCP Senior Data Lead
Teknik, data och digitalt · Data, AI och analys · Data engineering
I korthet
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.
Ansvarsområden
- 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.
Krav
- 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.
Önskade kvalifikationer
- 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
Förmåner
- 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