GCP Senior Data Engineer

Teknik, data och digitalt · Data, AI och analys · Data engineering

I korthet

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.

Ansvarsområden

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.

Krav

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

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

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.

Färdigheter

PythonSQLDataflowBig QueryPub/SubCloud StorageCloud SQLFire storeETLELTData WarehousingData ModelingHadoopSparkMachine LearningAIDevOpsCI/CD

#GCP#Data Engineering#Data Pipelines#Big Data#Data Architecture#ETL#ELT#Data Warehousing#Data Modeling#Python#SQL#Cloud#Cloud Storage#Big Query#Dataflow#Pub/Sub#Cloud SQL#Fire store#Machine Learning#AI#DevOps#CI/CD

Om HCLTech

Supercharging progress through technology and innovation

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered around digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2022 totaled $12.1 billion. To learn how we can supercharge progress for…

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