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You have experience working with a cloud-based data warehouse to access data (Snowflake, Redshift, Big Table, etc) You have experience working with Looker or other similar data visualization tools (tableau, etc), both creating the data model and building dashboards.
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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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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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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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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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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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Expertise in writing performant SQL, especially within cloud-based data warehouses like Snowflake, and have strong Looker developer skills, with an emphasis on LookML modeling and overall project design.
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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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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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Knowledge of data quality, data management, and data testing strategies and practicesStrong communication skills, both oral and writtenStrong experience working with ticketing tools such as ServiceNow, Zenoss or any other monitoring tool, Cloud monitoring tools (CloudWatch, CloudTrail), AppDynamics (or similar APM tool)Strong problem-solving and troubleshooting skills.
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big data aws cloud visualization jobs Title: engineer in New York, Lexington, Massachusetts
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