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Utilize big data technologies such as Kafka to process and analyze large volumes of data efficiently. Knowledge of big data technologies and cloud platforms. As a lead data engineer, you will be responsible for designing, developing and maintaining the data pipelines, databases and systems required for efficient data processing, storage and retrieval.
$115,000 - $240,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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3+ years of experience implementing big data processing solutions on AWS. At least 7 years of experience in data engineering. 9+ years of experience in data engineering. At least 5 years of experience in data architecture.
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Nor will Cloud Big Data Technologies require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Implement and utilize leading big data methodologies (AWS, Hadoop/EMR, Spark, Kafka, Snowflake and Talend) with cloud/on premise hybrid hosting solutions, on a multi-team/product level. 5+ years in large scale big data engineering experience and designing best practices in Programming, SDLC practices, Distributed systems, Data warehousing solutions SQL and NoSQL, ETL tools, CICD, Cloud Technologies (AWS/AZURE),Python/Spark, Datamesh and Datalake, Data Fabric.
Full-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Experience in Big Data ingestion, transformation and stream/batch processing technologies using Apache Nifi, Apache Kafka, Kinesis, Sqoop, Spark, Spark streaming, Storm etc. Experience with data pipeline and workflow management tools like Airflow.
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Key Responsibilities:Design, architect, and engineer big data solutionsDevelop a modern data analytics lake housePropose and standardize ELT, BI, AI, governance, and analyticsPublish enterprise ingress, development, transform, egress, consumption guidelinesInstrument monitoring, self-healing, and self-describing data pipelines to meet tier 1 OLAs/OpX: i.e., own operational outcomes.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Analytics - Data Lake solutions, Big Data, Hadoop - MapReduce, Apache Spark. Due to rapid growth, Oracle Government Defense and Intelligence (GDI) is seeking several Pre-Sales Solution Engineers that have a passion for cloud concepts, and system integration, and cloud migrations that can support customer facing engagements along with several internal Oracle sales efforts.
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At Cognizant Digital Engineering, a small multi-functional team comprised of a Product Manager, an Architect, Full-Stack Developers, UI/UX designers and Big Data analysts builds higher quality software faster siloed individuals working independently.
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Understand our big data (HDFS) and Cigna corporate warehouse (Teradata / AWS Redshift) environment and help identify insights/trends. Our group has a focus on full cycle engineering – requirements to production support – this means you will have an opportunity to work on a variety of problems to solve while gaining Big Data experience.
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Experience working with large complex data and corresponding query/ programming languages such as SAS, R, Python, or SQL plus experience with other big data technology such as Hadoop.
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Big Data & Streaming: 2+ years using big data and/or streaming technologies (e.g. Apache Spark, Apache Kafka, Apache Flink) Data: Good understanding of data & data processing tools (e.g. Spark, Kafka, SQL), of relational database technologies and of analytics databases (e.g. Redshift, Vertica, Snowflake.
Full-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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As a Capital One Software Engineer, you'll work on everything from customer-facing web and mobile applications using cutting-edge open source frameworks, to highly-available RESTful services, to back-end Java based systems using the hottest techniques in Big Data. You'll bring solid experience in emerging and traditional technologies such as: Java, Python, REST APIs, and AWS/Cloud Infrastructure to name a few.
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Experience with big data technologies, such as Hadoop and Spark, for large-scale data processing; experience with agent-based data collection, cloud to cloud, syslog (unstructured data), and REST API.
Full-timeRemoteExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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At Cognizant Digital Engineering, a small cross functional team comprised of a Product Manager, an Architect, Full-Stack Developers, UI/UX designers and Big Data analysts builds higher quality software faster siloed individuals working independently.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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You will have an opportunity to engage in enabling well architected cloud-based data solutions for Entity Resolution using emerging technologies such as AWS and Snowflake. Join a fast-paced and talented team to deliver Data Engineering capabilities for The Hartford's Commercial Data Science Data Delivery.
ExpandApply NowActive JobUpdated 9 days ago
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