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Proven experience building enterprise-grade software in a cloud-native environment (GCP or AWS) using cloud services such as GCS/S3, Dataflow/Glue, Data proc/EMR, Cloud Function/Lambda, Big Query/Athena, Big Table/Dynamo.
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The ideal candidate will have: Active Google Cloud Data Engineer or Google Professional Cloud Architect Certification. Knowledge and proven use of contemporary data mining, cloud computing, and data management tools: Microsoft Azure, AWS Cloud, Google Cloud, Hadoop, HDFS, MapR, and Spark.
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Hands on experience with ETL/ELT tools like ADF, Informatica , Talend etc., and data warehousing technologies like Azure Synapse, Azure SQL, Amazon redshift , Snowflake , Google Big Query etc.
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Experience working with cloud and modern data platforms such as Azure, AWS, Google Cloud, Snowflake, etc., with understanding of cost, security, and architecture. Strong, hands-on experience as a technologist working with data warehouse solutions, cloud technology, relational databases and dashboarding tools such as Oracle, MySQL, Qlik, Tableau, SQL Server, Power BI, Python, R programming, etc.
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Certifications in cloud technologies (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Administrator Associate, Google Cloud Certified - Professional Cloud Architect.
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Proficiency with GCP data services (BigQuery; Dataflow; Data Fusion; Dataproc; Cloud Composer; Pub/Sub; Google Cloud Storage). Proficiency in data technologies, such as relational databases, data warehousing, big data platforms (e.g., Hadoop, Spark), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure.
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Data engineering stack on cloud architectures - AWS, Azure, Google Cloud Platform (GCP) AWS Cloud Practitioner minimum - Solutions Architect Associate or Professional preferred.
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Design, develop and productionize data engineering pipelines on a massively parallel processing (MPP) and cloud-based tech stack, utilizing solution aspects from hybrid-clouds like Microsoft Azure, Amazon Web Services (AWS), data lakes and multiple data warehouses.
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The job locations include Chantilly, VA. Education and Experience: A bachelor's degree and at least ten years of experience Active Top Secret/SCI with Polygraph Skills and Knowledge: Experience in cloud services such as AWS, Microsoft Azure, Google Cloud, IBM Cloud, or Oracle Cloud, including associated tools like EC2, EBS, S3, etc.
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Responsible for developing and supporting data products, this resource plays a critical role in the design, development and management of modern, cloud-based data engineering and data warehouse solutions utilized by internal and external stakeholders.
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Data Build Tool (Dbt) Cloud Edition. Create high performance data products by monetizing business intelligence (BI) solutions, warehouse and Extract Transform and Load (ETL) technologies.
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Strong understanding of ETL and data warehouse principles. Will be leading workstreams related to corporate data migrations, consolidation, decommissions and net new stack builds for various commercial, marketing and clinical domains.
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Confidential Data : All information (written, verbal, electronic, etc.) Pipeline/data feed management. Maintain best practices for handling, storing and using data. Optimization of data pipelines.
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Sumitomo Pharma America (SMPA) is focused on delivering therapeutic and scientific breakthroughs in areas of critical patient need spanning psychiatry & neurology, oncology, urology, women's health, rare disease, and cell & gene therapies.
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Architect and deploy robust infrastructure on Google Cloud Platform (GCP) to support the Illuminate global SaaS Product Platform. As a Senior Site Reliability Engineer (SRE) at Digimarc, your mission will be to design, deploy, and maintain our Google Cloud Platform (GCP) infrastructure.
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big data architect google cloud jobs Title: network architect
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