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The Lead Data Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud infrastructure targeting big data and platform data management (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using Hadoop or equivalent.
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Master’s in Computer Science/Applications, Information Technology/Systems or Electronics/Electrical Engineering + minimum 1 year experience as Big Data Engineer, Data Engineer, Data Engineering Specialist, Data Warehousing Analyst or related occupation.
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We are actively hiring for Big data engineer. Hands-on experience building, testing, and optimizing 'Big Data' data ingestion pipelines, architectures and data sets.
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Cricut® is looking for a Senior Big Data Engineer to join our Data Platform team supporting the future of AI/ML. The ideal candidate will design, build, and integrate data from various resources, and manage big data pipelines that are easily accessible with optimized performance of Cricut®'s big data ecosystem.
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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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Reporting to Application Development Manager, the Big Data Software Engineer IV will work on a dedicated team of engineers developing, enhancing, and maintaining Availity’s high transactional Provider Data Management platform.
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The ideal candidate will also have a foundational understanding of big data platforms like Databricks, platform automation using Python and APIs, server-side experience with Linux OS, and a solid grasp of AWS fundamentals.
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Years of work experience as a Big Data Engineer. Extract, Transform and Load data from multiple sources and multiple formats using Big Data Technologies. Development, enhancement, and support of data ingestion jobs from various source systems following existing design patterns using GCP Services such as Apache Spark, Dataproc, Dataflow, BigQuery, Airflow, etc.
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Experience in developing partner led sales in collaboration with data platform and tool vendorsIn-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc.
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Hands-on experience using modern big data pipelines (AWS, Google Cloud, Snowflake) AI/ML models, Natural language process (NLP) and data mining experience. Hands-on experience using modern big data pipelines (AWS, Google Cloud, Snowflake.
$160,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Role: IT Manager Big Data Engineering. IT Manager Big Data Engineering. Experience in handling Big Data, IOT Data, and specifically a variety of Big Data file Formats Avro, Parquet, etc.
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Experience with big data tools: Spark, Kafka, HBase, Hive, Impala, Presto, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS/GCP big data technologies.
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Expertise in Cloudera Big Data Technologies, including Cloudera Distribution of Hadoop (CDP), Apache Hadoop, Apache Spark, Apache Hive, Apache Impala, and Apache HBase, with hands-on experience in deploying, configuring, and optimizing these technologies for large-scale data processing and analytics.
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Our client is currently seeking an experienced Data Engineer – Big Data individual for their Midtown office in Atlanta, GA. The successful candidate must have Big Data engineering experience and must demonstrate an affinity for working with others to create successful solutions.
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Experience with big data technologies such as PySpark, Databricks, and BigQuery. - Work with big data technologies like PySpark, Databricks, and BigQuery to process large amounts of data.
$100,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated Today
big data jobs Company: Taco Bell in Papillion, Nebraska
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