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Big Data Platforms : Experience with Databricks for big data processing and analytics. Certifications : AWS Certified Solutions Architect or AWS Certified Big Data – Specialty.
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Required Years Written and oral communications Required Years Background in data integration between business systems Required Years Requirements analysis and data modeling Desired Years Experience working with SSIS, Azure Cloud, ADF and Data Bricks Desired Years Experience with other data integration tools and techniques including IIB, MFT, web services, messaging and other modern data warehousing Desired Years.
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Work with big data repositories like SnowFlake, Data Lake and streaming data. 5+ years of experience with event-based data movement, Spark, and Big Data repositories (including Snowflake, data lakes.
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6 years of Experience with other data integration tools and techniques including IIB, MFT, web services, messaging and other modern data warehousing Nice to have. Background in web service development IIB and/or ADF development would be a big plus.
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Experience with other data integration tools and techniques including IIB, MFT, web services, messaging and other modern data warehousing. Experience working with SSIS, Azure Cloud, ADF and Data Bricks.
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Must have background in Data Warehousing, Oracle PL/SQL and MS SQL server development. Must also have ability to do data analysis, develop requirements and data models. Contractor will be responsible for purchasing parking through VDOT’s Parking Management Office or procuring their own parking.
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Experience with big data technologies (e.g., Azure Synapse Analytics, Spark, Databricks, AWS/Azure, etc. Minimum of 3 years' experience using Spotfire, Power BI, Tableau, and/or similar data analytics, visualization, and business intelligence tools.
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6 Years - Experience with other data integration tools and techniques including IIB, MFT, web services, messaging and other modern data warehousing. 6 Years - Experience working with SSIS, Azure Cloud, ADF and Data Bricks.
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Be part of a group of engineers building data pipelines using big data technologies (Spark, Snowflake, AWS Big Data Services like Glue) on medium to large-scale datasets.
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Experienced ETL developer with skills in IBM InfoSphere/DataStage product line. c#, develop, devops, matlab, php, python, sdet. We are looking for an individual with expertise in IBM DataStage to join our team.
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Experience with cloud platforms (AWS), big data technologies (Hadoop, Spark) and Snowflake platform. ·Mentoring: Train and mentor junior engineers on data engineering best practices and Talend usage.
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Our customized approach combines CRM, GIS, big data analytics, and customer data with tightly controlled processes and highly-trained sales staff. + COVID-19 has had a big impact on outside sales, but SPI continues to lead in the industry in setting responsible safety protocols that put our employees first.
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Experience as a Data Engineer in Hadoop Platforms on components like HIVE, KAFKA, NiFi, Spark etc is a big plus. Uses strategies such as Indexing and partitioning to fine tune the data warehouse and big data environments to improve the query response time and scalability.
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Experience working in Agile/Scrum process is highly desired. Ability to communicate with business users and developers an absolute must. Must have background in building interfaces between business applications.
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Clear communication skills - written and oral is a REQUIREMENT. Requirements Skill Required / Desired Amount of Experience Advanced skills in IBM's Infosphere Data Stage product line Required 10 Years Experience working with Oracle PL/SQL and SQL Server Database Developement.
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big data jobs in Richmond, VA, France
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