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Big Data; GCP; Git (GitHub, GitLab, Bitbucket, SVN); Google Kubernetes Engine (GKE); Python; PySpark; Scala; Unix Scripting. Title : Big Data Engineer. · 3 to 7 years of experience within Data Engineering/ Data Warehousing using Big Data.
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Experience with modern data platforms (Azure Synapse, Databricks, Redshift, Big Query, Snowflake). Utilize programming languages like Java, Pyspark, Python and Open Source RDBMS and NoSQL databases, and Cloud-based data warehousing services such as Redshift and Snowflake.
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Minimum 8 years' experience as a Product Manager in data integration, data governance, or related areas. Possess a unique blend of business and technical savvy that includes a big-picture vision and the drive to make that vision a reality.
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Hands-on experience with Azure cloud computing infrastructure (Azure Databricks, Azure Data Factory, Spark) 2+ years’ experience with Big Data Analytics Platforms Demonstrated analytical and problem-solving skills, particularly those that apply to a “Distributed Big Data Computing” environment.
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You are a driven data engineer with experience working with big data technologies such as Docker, ECS, S3, Redshift, Kafka, and RDS. You have experience with ETL/ELT and data warehousing using tools such as dbt, Azure Data Factory, Matillion and/or Fivetran.
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We’re a leader in the pet care category and part of the world’s largest food company—so you can imagine our salesforce is BIG. In pet care, we focus our sales efforts within the retail and veterinary sales channels to ensure we’re at the forefront of consumers’ minds.
$100,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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3+ years hands on experience on GCP Cloud data implementation projects (Dataflow, DataProc, Cloud Composer, Big Query, Cloud Storage, GKE, Airflow, etc. Sr. Software Engineer - Data (Remote.
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We were included in the top 10 of Selling Power magazine's "Best Companies to Sell For" list and recognized on Forbes magazine's "Platinum 400 - Best Big Companies" list. Cutting edge sales tools, including a data management device with CRM software.
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Knowledge of next gen offerings including Big Data, Cloud Computing, Identity Fraud as well as Healthcare standards (Meaningful Use, HIPAA, MACRA, etc.) While our solutions are centered around robust data assets, we also leverage sophisticated technology, applied analytics and deep healthcare expertise – while ensuring the highest standards of privacy and security – to help healthcare organizations make confident decisions and solve complex challenges.
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Finance, IT and Cyber, ISC, Fraud and Forensics, and Data Analytics are the core functional groups. 3+ years experience with Big Four Audit or internal Audit experience from Fortune 500 companies.
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Google Cloud Big-data & Python engineer for top 100 online Banks. Hands on experience in designing and developing Big-Data Platform components such as Custom Metadata, Data Management , Data Standardization, Data Quality, Data Encryption.
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Experience in distributed data (structured, semi-structured, unstructured, streaming) processing techniques using Apache Spark, Hadoop, Hive, Kafka, and big data ecosystem technologies preferred.
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Big Data Components/Frameworks such as Hadoop (MapR), Spark, Yarn. This individual's day-to-day work will involve using Java, Scala, SQL, Big Data, Linux, git, and maven/gradle to design and build software solutions that are fast, scalable, and flexible.
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HBase is the Hadoop database, a distributed, scalable, big data store and is one of the most widely used components in Hadoop, an essential tool for data engineering. ZooKeeper is the high availability coordination service of the Big Data world and is one of the most widely used components in the Hadoop ecosystem, an essential tool for coordinating component instances in large clusters.
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Saama Analytics has been on the forefront of data innovation for the last two decades and continues to offer cutting-edge data analytics solutions powered with big data, cloud, and AI/ML aptitudes for its customers in Life Sciences, Insurance, CPG, and other industries.
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