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Delivering data engineering pipelines using databricksAWS (s3, Lambda, IAM, Glue, SNS, SQS, VPC, Athena, EC2, etc.) Incorporate core data management competencies including data governance, data security and data quality.
$121,000 - $199,600Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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AT A GLANCEWe are looking to hire a Data Scientist to join our RVO Health data science team. Create innovative data science solutions to create value for consumers and business by advancing technology ideas into proofs of concept.
$94,400 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Knowledge of data and process modeling, system and application testing, software development life cycle, application design and architecture, programming, implementation, change controls, and robotics suites.
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You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.
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A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
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5+ years of experience in building data engineering solutions utilizing AWS services (S3, Kinesis, Lambda, Glue, SNS) or Data platforms like Databricks/Cloudera. Experience in data integration and building complex ETL pipelines using ETL tools, including Informatica, Datastage, Clover DX, AWS Glue, Knime.
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Experience with the tools we use, like AWS (including Glue and Lambda), Redshift, Data Build Tool (DBT), Snowflake, and Docker - plus experience with tools we don’t use, but should, and the wisdom to know when to recommend them.
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In-depth knowledge and hands-on experience in GCP cloud-native services such as BigQuery, Dataflow, Pub/Sub, Cloud Data Fusion, Cloud Composer and Google Data Studio etc. Experience in architecting and designing solutions leveraging services like Cloud Bigquery, Cloud Data Flow, Cloud Pub OR Sub, Cloud BigTable.
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Business Insurance (BI) Analytics & Research Data Engineering team is seeking highly motivated and skilled Data Engineer to provide the design, development, and delivery of data and analytical solutions and frameworks to support data science and analytical use cases.
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Should be hands on engineer with experience in multiple data engineering technologies (Spark/Kafka/ADF/Databricks) as well as the standard dev-ops technologies and processes (CI/CD- Containers, Jenkins etc.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Demonstrated proficiency using data visualization tools (e.g., Microsoft Power BI) Develop and Maintain ETL/ELT packages using SQL Server Integration Services (SSIS) that handle large, complex data sets from various sources.
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Technologies include 5G/OnGo, connected buildings, digital workplace, multisite deployments, data centers, and IoT. Work with client field engineering team to monitor progress and quality of installation within all phases of construction and/or operational tasks within the data center(s.
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Experience working with APIs for data retrievalExperience working with data warehouses and big data tools (e.g., BigQuery, Databricks)Experience creating data/table architectureExperience implementing QA processes and QA automationExperience integrating data models within softwareExperience working with marketing, analytics and customer dataPay Transparency.
$62,000 - $93,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Genesys Cloud design and Administrator, Knowledge of Genesys Architect, IVR. Experience with Dialer and Integrations,
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Reporting to the Senior Vice President of Partnerships & Impact, the CRM & Data Insights Director will be at the forefront of driving innovation and impact in solving the world's most critical challenges through data collection and analytics.
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