GCP Data Engineer
Programmers.io
Note: (GC, GC-EAD, OPT, CPT on C2C will not be workable) Core Responsibilities Design, implement, and optimize clean, well-structured, and performant analytical datasets to support high-volume reporting, business analysis, and data science model development. Architect, build, and maintain scalable and robust data pipelines for diverse applications, including business intelligence and advanced analytics. Implement and support Big Data solutions for both batch (scheduled) and real-time/streaming analytics. Work closely with product managers and business teams to understand data requirements and translate them into technical solutions. Collaborate with DevOps teams to ensure smooth deployment, monitoring, and maintenance of data pipelines and infrastructure in cloud environments. Required Skills & Experience Cloud Platform Expertise (GCP Focus): Extensive hands-on experience working in dynamic cloud environments, with a strong preference for Google Cloud Platform (GCP) services, specifically: BigQuery: Expert-level skills in data ingestion, performance optimization, and data modeling within a petabyte-scale environment. Experience with other relevant GCP services like Cloud Storage, Cloud Dataflow/Beam, or Pub/Sub. Python: Expert-level programming proficiency in Python, including experience with relevant data engineering libraries. SQL: A solid command of advanced SQL for complex querying, data processing, and performance tuning. Data Pipeline Orchestration: Prior experience using workflow management and orchestration tools (e.g., Apache Airflow, Cloud Composer, Dagster, or similar). DevOps/CI/CD: Strong understanding of DevOps principles and practices. Experience with CI/CD pipelines, automation tools, and deployment strategies. Familiarity with version control systems (Git) and tools like GitLab CI/CD, GitHub Actions, or Jenkins. Knowledge of containerization (Docker) and orchestration tools (Kubernetes) is a plus. Monitoring & Automation: Ability to implement monitoring solutions and automate operational tasks to ensure reliability and scalability. #J-18808-Ljbffr Programmers.io
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$185k - $210k
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$215k - $265k
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...financial solutions. By leveraging proprietary data and analytics, our solutions are tailored... ...‑as‑a‑service partner. As a Data Test Engineer , you’ll impact the lives of everyday people... ...knowledge of Google Cloud Platform (GCP), especially in environments leveraging cloud...Remote workWork from home$130k - $145k
...Join to apply for the Sr. Data Quality Engineer role at Affinity Solutions About Your Role Affinity Solutions is the leading consumer purchase insights company. We provide a complete view of U.S. and U.K. consumer spending, across and between brands, via exclusive access...Full timeWork at office$157.92k - $236.88k
...Data Integration Engineer Job Requisition ID: 1753 Posting Start Date: 7/7/26 At Daiichi Sankyo, we are united by a single purpose, to improve lives around the world through innovative medicines. With a legacy of innovation since 1899, a presence in more than 30 countries...- ...About the Team Workday has launched an Enterprise Data and Analytics (EDA) Team to transform and optimize the way Workday creates and... ...enterprise. About the Role We are seeking a Principal Analytics Engineer with skills in data product development, pipeline management, data...Work at officeImmediate startFlexible hours
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