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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.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience working job orchestration (eg., Airflow / Databricks Workflows) Experience with Compute technologies like EMR and Databricks. RVO Health was created by joining teams from both Red Ventures and UnitedHealth Group’s Optum Health.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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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. Configure custom data pipelines within AWS/Databricks for ingestion into Data Mart.
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Use Terraform to provision and deploy Databricks clusters, workspaces, and associated AWS resources. Collaborate with data engineers to integrate Databricks with other data sources, data warehouses, and data lakes.
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Experience implementing and maintaining data platform core services (data lake, data integration, data warehouse) and configuring and integrating infrastructure and PAAS (e.g., Azure Data factory, Informatica cloud services, Databricks, Data gateway and Qlik Sense, Power BI.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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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.
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As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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Good exposure on Enterprise Data Lake (Delta Lake) and Data Warehouse conceptsExperience in Dev Ops and CI/CDJenkins, Terraform (Azure) and containers (Docker) Hands on experience on building data engineering pipelines on Spark/ Data bricks (Azure)Hands on experience with stream data ingestion /processing with SparkHands on experience on other Azure native data technology stackAzure Data factory, Synapse, SnowflakeExposure to providing ETL solutions for Azure native stack and in Spark.
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Familiarity with Microsoft Azure, Databricks, & ML Studio is also a plus. Newell Brands (NASDAQ: NWL) is a leading global consumer goods company with a strong portfolio of well-known brands, including Rubbermaid, Sharpie, Graco, Coleman, Rubbermaid Commercial Products, Yankee Candle, Paper Mate, FoodSaver, Dymo, EXPO, Elmer’s, Oster, NUK, Spontex and Campingaz.
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8+ years on Coding (Python, Java, Scala, or other programming languages), Data warehousing, Database systems (relational and NoSQL),Data analysis,Cloud computing (Azure),Big Data (Hadoop,Hbase),Pyspark,Azure Deltalake, Databricks, DBT,Healthcare domain experience.
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Microsoft Azure, ADF, Databricks. Mandatory – SSIS, SQL / SSIS /SSRS, airflow, Control M, Autosys, Qlik view, Data stage, Informatica Python/Scala/PySpark Reverse engineering of Legacy platforms Mapping of Legacy models to Cloud Cloud migration experience from Legacy Skills Required: + years of experience required Strong experience in SQL / SSIS /SSRS Orchestration experience with any scheduler (airflow, Control M, Autosys etc.
$62 - $67ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Should design and build scalable and cost-effective public cloud (Azure) native solutions as per the business use cases. Dice is the leading career destination for tech experts at every stage of their careers.
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Microsoft Clienture, ADF, Databricks. SSIS, SQL / SSIS /SSRS, airflow, Control M, Autosys, Qlik view, Data stage, Informatica. Microsoft Clienture, ADF, Databricks. Orchestration experience with any scheduler (airflow, Control M, Autosys etc.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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For this role, the candidate should have experience with some of the following tools/platforms: SQL, Databricks, Python, Snowflake, Sagemaker. For this role, the candidate should have experience with some of the following tools/platforms: SQL, Databricks, Python, Snowflake, Sagemaker.
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Using Azure Data factory, ADLS, Azure Databricks, Log Analytics , Application Insight, Azure Monitor. using Azure Data factory, ADLS, Azure Databricks, Log Analytics , Application Insight, Azure Monitor.
ExpandApply NowActive JobUpdated 1 month ago
databricks job in Minneapolis, MN
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