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Data Engineer II - Data Analyst (SQL) (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science.
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4+ years of experience as a Data Engineer or Analyst, with a focus on AWS technologies. AWS Certified Data Engineer – Associate. Building and managing data pipelines using AWS services such as Glue, Lambda, S3, Redshift, and Athena.
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RVO Health is looking to grow our Optum Now team by adding a Senior Data Engineer. 3+ years of experience working on Spark (RDDs / Data Frames / Dataset API) using Scala/Python to build and maintain complex ETL pipelines and experience data processing using Parquet and Avro.
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We're in search of an exceptionally skilled and highly effective Senior Software Engineer to join our Digital Insights Data Engineering team. Experience working with big data technologies: Apache Airflow, Apache Spark, Apache Kafka, AWS Kinesis, AWS Redshift.
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And would not be offended if someone described one or more of your past roles as a "data engineer." Senior Software Engineer, Data. We're looking for a data-stack-focused engineer to join our core platform team.
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Our client is currently seeking an experienced Big Data Engineer for their Midtown office in Atlanta, GA. The successful candidate must have substantial Big Data engineering experience and demonstrate an affinity for working with others to create successful solutions.
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You will have established analytic engineer capabilities as well as enablement skills to allow for data process excellence in the organization. As a Data Engineer in Insights Engineering, you will work along side other engineers to ensure the proper upkeep of our analytic platforms within FanDuel organization by establishing platform governance and feature improvements to enable the business.
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Develop QA Test scenarios/cases as needed, and perform QA testing including but not limited to functional, End to End and data validation testing. From there, you will then develop QA test scenarios and perform QA testing, including but not limited to functional, End to End, and data validation testing.
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Our transportation client is looking for a Big Data Engineer - Spark/Databricks to join their team. Experience with real-time data processing and streaming techniques using Spark structured streaming and Kafka.
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We are looking for an experienced data engineer/analyst to support end-to-end data analytics projects for the divisional marketing team. Leverage data integrations using systems such as AWS Athena, Redshift, Cognos, SharePoint and Power BI Services among other technologies.
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The Lead Data Engineer is responsible for managing and organizing the client’s enterprise data and overseeing the technical output of a team of data engineers. Job Title: Lead Data Engineer.
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Experience in: Database technology (Oracle, DB2, Bigquery, Hadoop, Impala, and/or SQL); Data Cleaning, Manipulation, Analysis, and Reporting; Data visualization (javascript, tableau, gnuplot, and/or matplotlib); and Programming Language (Python, Javascript, Java, and/or C.
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For Data Engineer (II) Fluent in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. 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.
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Develop reports using modern data visualization tools and best practices to surface valuable insights to end-users. Implement data governance best practices by capturing data definitions, identifying data stewards, and data transformations through source-to-target mappings.
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Senior Principal Data Engineer will be part of an innovative data team that enables Finance, Marketing, Product, Sales and to explore data and take actions that differentiate us from our competition.
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Title: data engineer Company: Randstad in Atlanta, DE, France
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