GCP Senior Data Engineer
Teknik, data och digitalt · Data, AI och analys · Data engineering · Mjukvaruutveckling
I korthet
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 teams.
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 mechanisms.
- Ensure adherence to data governance, security, and compliance standards.
- Partner with data scientists, analysts, and business stakeholders to 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
- 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.
- 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.
Önskade kvalifikationer
- GCP Certifications (Professional Data Engineer / Cloud Architect) preferred.
- Experience with Big Data technologies (Hadoop, Spark) preferred.
- Exposure to Machine Learning / AI workflows preferred.
- Familiarity with DevOps practices & CI/CD pipelines preferred.
Förmåner
- 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.
- Global technology company with over 223,000 people across 60 countries.
- Industry-leading capabilities centered around digital, engineering, cloud and AI.
- Broad portfolio of technology services and products.
- 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.
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