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Azure Cloud Architect, Data Engineer & DevOps. Education: MUST have a Engineering, Statistical Computing, Mathematical Statistics, Mechanical bachelor's or master s degree in computer science or software engineering, Mathematics, Electrical Engineering, Information Systems: Software Engineering, Software Development, Information Technology: Programming and Software Development, Computer Science, Computer Systems Engineering, Industrial Engineering.
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You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
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We’re looking for a Data Engineer to help us maintain the foundation of our data warehouse and create an opinionated structure to our data model that can set the standard for our embedded analysts to expand.
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Experience with cloud data services such as Redshift, Relational database services (RDS), Snowflake and Databricks. Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform.
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5+ years of working experience in a cloud environment with global deployment in a role of devops engineer, infrastructure engineer, or software development engineer with infrastructure exposure.
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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As a member of the Data Engineering - Business ETL team, you own the data warehouse and data pipelines that are used for financial and regulatory reporting. 2+ years of professional data engineering experience.
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Design & implementation of AWS cloud infrastructure using best practices and industry standards by working closely with internal & external stakeholders like Information Security, Cloud Infrastructure, Data Engineering teams, etc.
ExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Bachelor’s degree or U.S. equivalent in Computer Science, Computer Information Systems, Financial Mathematics, Statistics, or related field plus 2 years of professional experience as Software Engineer, Software Developer, or any occupation/position/job title involving data engineering.
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Talascend is currently seeking an Azure Cloud Data Engineer for a fully remote contract opportunity. As a Data Engineer, you will translate business requirements to data engineering solutions to support an Enterprise-scale Microsoft Azure-based data analytics and reporting platform.
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Graduate Degree in Medicine, Biomedical Informatics, Epidemiology, Computer Science, Data Science, Engineering, Public Health, Economics, Biostatistics, Health Policy, Statistics, Biometrics, or equivalent experience.
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A minimum of 4 years of software engineering experience, including at least 2 years of data engineering experience. 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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Program cognitive tasks, software pipelines, data visualization tools, and machine learning or data science utilities for a variety of scientific use cases. The Scientific Software Engineering Generalist responsibilities include writing, debugging, and testing code for arbitrary signal processing and data analysis tasks, software packaging, and the development of training resources.
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To be an infrastructure Devops engineer in the Platform Engineering team and be accountable for overall infrastructure delivery, from design to implementation, both traditional on-premises and cloud-based infrastructure technologies, for a major business area - in this case Worldpay NAP.
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Google Certified Cloud Architect, Google Certified Data Engineer, AWS Certified Solutions Architect, Azure Solutions Architect. Designing and developing large scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker and Cloud IAM.
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software engineering data science engineer cloud jobs Title: warehouse Company: Dice in New York, NY
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