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Experience with cloud-based data platforms (e.g., AWS, Snowflake, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark) preferred. Expertise in data management, including data modeling, data governance, and data quality management.
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Expert in cloud computing platforms and offerings from Google Cloud Platform (GCP) (preferred), Microsoft Azure. Data Strategy Requires knowledge of: Understanding of business value and relevance of data and data enabled insights / decisions; Appropriate application and understanding of data ecosystem including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage and Scalability etc; Understanding of the methods and applications that unlock the monetary value of data assets.
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Strong foundational knowledge across Microsoft Azure, Google Cloud, and/or Amazon AWS technology stack. Providing strategic and technical leadership for client teams establishing a cloud infrastructure design, migrating data centers to cloud platforms, developing infrastructure as code, or deploying cloud solutions.
$69,600 - $115,000 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers.
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Position :- Senior Data Engineer - Google Cloud Platform (GCP) As a key member, you will play a pivotal role in designing, building, and maintaining robust data pipelines within the Google Cloud Platform (GCP) environment.
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You will be responsible for the entire data lifecycle, from understanding business needs and translating them into technical specifications to architecting, developing, and deploying data pipelines that deliver high-quality data to our data warehouse in BigQuery.
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Proficiency in database technologies such as SQL Server, MySQL, PostgreSQL, MongoDB, and cloud-based data platforms (e.g., AWS, Azure, Google Cloud) Establish and enforce data governance policies, standards, and procedures to ensure data quality, integrity, privacy, and compliance with regulatory requirements (SOC2, HIPAA, etc.
Full-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
Full-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Senior Data Engineer - Google Cloud Platform (GCP) Design, develop, and deploy scalable data pipelines using GCP tools and services like Cloud Dataflow, Cloud Storage, Pub/Sub, and Cloud Functions.
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In this role, you will design and manage batch and real-time data pipelines using the latest technologies available on cloud platforms such as Microsoft Azure, Google Cloud Platform, and AWS.
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Google Cloud Platform certification (Professional Data Engineer or equivalent) is a plus. Position :- Senior Data Engineer - Google Cloud Platform (Google Cloud Platform.
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Proven experience in designing, building, and deploying data pipelines in the cloud (ideally GCP). Develop and maintain a comprehensive data architecture that ensures data quality, efficiency, and scalability.
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Design, develop, and deploy data pipelines on Google Cloud Platform using services such as Dataflow, BigQuery, Dataprep, and Pub/Sub. As a GCP Data Engineer, you will be responsible for developing, managing, and optimizing our data pipelines and systems on Google Cloud Platform.
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Knowledge of cloud data services (AWS, Azure, Google Cloud) is advantageous. · Governance and Data Quality: Implement rigorous data governance frameworks to ensure the accuracy, completeness, and security of insurance and risk management data.
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Strong knowledge of cloud computing platforms, such as AWS, Azure, or Google Cloud. Knowledge of cloud security best practices and compliance requirements. AWS experience - Participate in all aspects of the software development lifecycle for AWS solutions, including planning, requirements, development, testing, and quality assurance.
Full-timeExpandApply NowActive JobUpdated 20 days ago
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