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Experience building robust and scalable data integration (ETL) pipelines using Airflow, SQL, Python and Spark. Experience with Big Data Technologies (Hadoop, Hive, HBase, Pig, Spark, Apache Druid) such as S3, EC2, and EMR (Spark) etc.
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Experience with Big Data Technologies (Hadoop, Hive, HBase, Pig, Spark, Apache Druid) such as S3, EC2, and EMR (Spark). Data Warehousing experience with Oracle, Redshift, Teradata, Snowflake, etc.
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Able to work with large datasets and big data technologies, preferably Databricks. Ensure seamless data integration, maintain data quality, and uphold data security and compliance.
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As a SysDev Engineer, you should be an expert in the design, implementation, and maintenance of cloud infrastructure and technologies including but not limited to EC2, S3, RedShift, Redis, ELB, RDS Aurora 2, EMR and Glue, to support real-world big data pipelines.
$201,200 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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3+ years Programming experience manipulating and analyzing data (Python or Scala)Experience building robust and scalable data integration (ETL) pipelines using Airflow, SQL, Python and Spark.
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Build strategy for acquiring data from primary or secondary data sources and unify data across different applications. The successful candidate will turn data into information, information into insight and insight into business decisionsBasic Qualifications:Bachelor's degree in Computer Science, Computer Engineering, Business Administration, Mathematics or a related field.
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Solid understanding of data engineering concepts: ETL processes, data warehousing, data lakes Experience with cloud platforms: AWS, Azure, Google Cloud Knowledge of data integration tools and big data technologies (e.g., Hadoop, Spark) Your own unique talents.
$242,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are looking for a Staff Cloud Support Engineer who likes working with data and solving a wide variety of issues utilizing their technical experience having worked on a variety of operating systems, database technologies, big data, data integration, connectors, and networking.
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Microsoft's Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence.
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Experiences with big data security systems and technologies, such as Apache Ranger, data classification, data protection. Team Introduction The Data Management Suite team is building products that cover the whole lifecycle of a data pipeline, including data ingestion and Integration, data development, data catalog, data security and data governance.
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Experience in the Big Data technologies(Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink etc.) Experience with performing data analysis, data ingestion and data integration.
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Good to have exposure to big data emerging technologies like Hive, Red Shift (DWH), Hbase, Apache Spark and integration with enterprise visualization framework. Team player to build large scale, high availability, fault tolerant data analytics platform - Apache Spark ecosystem, Data Visualization and Advanced Analytics.
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Big Data technologies: Hadoop, Redshift, Impala & DynamoDB.C#, including Mono and ASP.NET "vNext" / Roslyn powered REST microservices. These systems must work together and handle a variety of user-interactive use cases while seamlessly processing 24x7 data integration traffic (API, ETL.
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C2C is not allowed)Job SummaryWe are looking for an intellectually curious, business/tech-savvy, analytical powerhouse to join The Walt Disney Company’s DTCI group as a Data Analyst in Data Platform and Analytics team.
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Job Summary:We're looking for an intellectually curious, business/tech-savvy, analytical powerhouse to join The Walt Disney Company's DTCI group as a Data Analyst in Data Platform and Analytics team.
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big data integration jobs Title: engineer in Seattle, WA
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