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Familiarity with Big Data technology in cloud and on-premises environments: Hadoop, HDFS, Spark, NoSQL Databases, Hive, MongoDB, Airflow, Kafka, AWS, Azure, Dockers or Snowflake. We are a premier IT consulting firm specializing in delivering top-tier Big Data solutions to companies across various sectors such as.
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Experience designing and developing big data processing solutions (Dataflow/Apache Beam, Bigtable, BigQuery, PubSub, GCS, Composer/Airflow, or other related tools) Additional and proven experience as a Test Engineer and/or Data Engineer (preferred focus on GCP environments & emphasis on GCP services related to big data like BigQuery, Dataproc, Dataflow, and Pub/Sub.
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As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions-from fraud detection to cancer research to national intelligence.
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As a data engineer, you know that organizing big data can yield pivotal insights when it's gathered from disparate sources. Work with us to use big data for good. Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
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Experience in performing ETL and data engineering work by leveraging multiple google cloud components using Dataflow, Data Proc, BigQuery. Experience in utilizing GCP Services like Big Query, Composer, Dataflow, Pub-Sub, Cloud Monitoring.
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Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. 3+ years of big data development experience with technical stacks like Spark, Flink, Singlestore, Kafka, Nifi and AWS big data technologies.
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Exposure to big data platforms - Snowflake, Redshift, Azure, Matillion, Hadoop. You have a strong background in data quality management and are experienced with SaaS and/or digital sales metrics.
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Deep understanding of distributed computing principles, data management concepts, and big data ecosystem components (e.g., Hadoop, Spark, Kafka, Apache Delta Lake ). Hands-on experience with cloud platforms ( e.g., AWS, Azure, GCP ) and containerization technologies ( e.g., Docker, Kubernetes ), code management tools and frameworks ( e.g., Ci/CD, Git ) for understanding and managing big data solutions.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. As a member of the Data Engineering Web3 team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity in our Web3 product offerings.
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The big data architect will support the development of autonomous driving software solutions by playing the role of subject matter expert for the big data systems, underlying data and data products.
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Experience with data warehousing using AWS Redshift, MySQL, or Snowflake. Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before.
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Required hands-on GCP tech stack experience, including advanced skills in several of the following: GCP Dataflow, GCP Big Query, GCP Data Fusion, GCP Change Data Stream, Python/SQL, Terraform, Cloud Functions, Cloud Events, Cloud Composer.
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5+ years working experience with key open source big-data projects as a contributor or committer including Apache Spark, Apache Flink, Trino, Apache Kafka, Apache Hive, Apache Arrow, Apache Hadoop, Delta Lake, Apache Iceberg.
$250Full-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Design and manage Big Data solutions, including AWS EMR, EMR Studio, and Azure Databricks. You will be responsible for designing, implementing, and managing cloud infrastructure, CI/CD pipelines, and ensuring the scalability, security, and reliability of our cloud and DevOps services, with a specific focus on Big Data technologies.
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We are currently seeking an experienced Machine Learning Engineer to join the Big Data and Advanced Analytics department. As a member of the Data Engineering team, the Machine Learning Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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big data jobs Company: Vector Marketing in NV, United Kingdom
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