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You must be passionate about data management with a solid background in AWS, Databricks, Python, Trino/Starburst, Databases and SQL.Design, develop, monitor, and maintain data pipelines in an AWS Gov Cloud ecosystem with AWS, Databricks, Delta Lake and Trino as the underlying platforms.
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Certifications in cloud services relevant to the job (e.g., AWS Certified Solutions Architect, Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate.
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2 or more professional certifications (SAFe PM/PO, CISSP, GIAC, CISM, CCSP, AWS Cloud Practitioner, AWS Security) 2+ years of experience working with cloud based or on-prem SIEM products (Splunk, Elastic, ArcSight, QRadar, Sentinel, Securonix, LogRhythm.
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You have experience working with a cloud-based data warehouse to access data (Snowflake, Redshift, Big Table, etc) Own data integrations between Pigment and other primary sources, including Looker, Netsuite, Salesforce, Paylocity and Snowflake.
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Preferred: Azure Certification: Azure Solutions Architect Expert, Amazon Certifications: AWS Certified Solutions Architect - Professional, GCP: Cloud Architect and/or Cloud DevOps Engineer.
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Provide technical expertise in the areas of design and implementation of Data Lake solution powered by Databricks on AWS cloud. Strong understanding of cloud platforms like AWS, Azure, or GCP, and their services (e.g., EC2, S3, AKS, EKS, etc.
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Good working knowledge of data warehousing platforms (such as Snowflake, Redshift, etc), cloud computing (such as AWS), and ETL/data pipeline technologies (such as Airflow, DBT.
$130,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Familiarity with cloud computing platforms and hyperscaler technologies (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes). Architect Expertise: Production level ML workloads for customers using Databricks platform, including end-to-end ML pipelines, training/inference optimization, integration with cloud-native services and MLOpsModel Selection: Evaluate and select appropriate AI components and algorithms based on project objectives, data characteristics, and performance requirements.
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10+ years of industry experience with at least 3-years in a technical lead role Expert-level experience with cloud compute environments (AWS) along with cloud-native tools; proficiency in Terraform a must Experience with containers (Docker), container orchestration (Kubernetes) and process orchestration/DAGs (e.g., Airflow) Experience working with data teams and automating ML and other data-intensive applications development workflows.
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Deep understanding of AWS/GCP/OCI cloud services and how to leverage them for compute, storage, and managed services including, but not limited to databases, managed Kubernetes, and Python/Django application services.
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Strong foundational understanding of Big Data ecosystems to make trade-off decisions while developing end to end solutions on Cloud/On-Prem/Hybrid Data tech stackExperience balancing new product development with maintaining day-to-day data reporting operations in a very large scale enterprise set upExperience applying both qualitative analysis and quantitative analysis techniques and familiarity with common data science models and approaches to problem-solving.
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Collaborate with different teams in EDM (Data Cloud, Architecture, Data Governance Tech, Data Science) and support strategic initiatives such as data governance, data-as-a-service, and self-service analytics.
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Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query) + Basic understanding of AWS or other cloud provider resources (S3.
$136,100 - $191,100 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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We leverage leading technology stacks like Microsoft Azure, AWS, Google Cloud, Microsoft Power BI, Anaplan, Qlik, Tableau, SAS, Cloudera, Redhat and many others - to match your business goals with optimum technology solutions for all your stakeholders.
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Hudson River Trading (HRT) is looking for a Data Production Engineer to join our Data team. Experience with financial datasets (e.g. Refinitiv, S&P, Bloomberg) is a big plus.
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big data aws cloud jobs Title: engineer Company: Zendesk Inc in New York, Lexington, Massachusetts
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