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Ltimindtree.com. Big Data Engineer Location: New Castle, DE Primary Skill : Scala and Spark (no need of python) Skill - Big Data, Spark, SQL, parkStreaming-Kafka-Python / Scala / Java Mandatory Certification (any one from below list): Cloudera - CCA Spark and Hadoop Developer (CCA175) Databricks Certified Developer: Apache Spark 2.
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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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Experience with big data technologies (Hadoop, Hive, Presto, Pig, Spark, etc.) We’re looking for an experienced Data Engineer to join our growing team focused on building, supporting and enhancing the Oracle Hardware Division’s (OHD) big data and analytics platform.
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Strong project experience in Big Data, Cloudera Distribution. experience in Big Data, Cloudera Distribution 7. experience building data pipelines using Hadoop components Sqoop, Hive, Solr.
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This architecture includes an Databricks, Microsoft Azure platform tools (including Data Lake, Synapse), Apache platform tools (including Hadoop, Hive, Impala, Spark, Sedona, Airflow) and data pipeline/ETL development tools (including Streamsets, Apache NiFi, Azure Data Factory.
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Experience with some of the following: Kubernetes, Docker, Helm Charts, Hadoop, Cloudera, Hortonworks, Apache Storm, Apache Spark, HBase, YARN, map-reduce, big-data analytics, semantic-web (RDF, OWL), Hive, Elastic Search, MS SQL Server Big Data, and graph-databases.
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The Big Data Engineer will be responsible for interpreting the requirements of various Big Data Analytic Use Cases and Scenarios, and driving the design and implementation of specific data models to ultimately help drive better business decisions through insights from a combination of external and AT&Ts data assets.
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Stay up-to-date with industry trends and best practices related to Spark, big data technologies, Python, and AWS services. Proven experience (10+ years) as a Spark Developer or in a similar role working with big data technologies.
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Expertise in big data technologies like Hadoop, Apache Spark (Scala preferred), Apache Hive, or similar frameworks on the cloud (Google Cloud Platform preferred, AWS, Azure etc.) Big Data Engineer.
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Big Data Technologies: Strong knowledge of big data technologies and frameworks, such as Apache Hadoop, Apache Spark, Apache Kafka, Apache Hive, or Apache Flink. Understanding of big data technologies such as Hadoop, Spark, and related ecosystem components (e.g., HDFS, Hive, Pig.
$190,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Good knowledge and Proven practical experience in migrating relational data base from on-prem to cloud OR to build cloud-based data lake using either Big Data / Azure Synapse / Databricks / Snowflake.
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Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and (GCP, AWS, Azure, Snowflake) ‘big data’ technologies.
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Proficient in Python/R, PyTorch/TensorFlow, SQL, Big Data and cloud technologies. PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics a big plus.
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The client Corporation is currently seeking an experienced Big Data Engineer Thesuccessful candidate must have Big Data engineering experience and must demonstrate an affinity forworking with others to create successful solutions.
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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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big data jobs Title: data manager Company: Capgemini
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