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Hands-on experience with big data technologies such as Apache Spark, Hadoop, and/or Databricks. Certifications in relevant technologies (e.g., AWS Certified Big Data - Specialty, Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate, etc.
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A Lead Data Engineer generally works on implementing complex big data projects with a focus on collecting, parsing, managing, analyzing, and visualizing large sets of data to turn information into insights using multiple platforms.
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Experience with Snowflake/BigQuery, Google Dataproc/Databricks or any big data frameworks on Spark. Enable functionality to support analysis, model optimization, statistical testing, model versioning, deployment and monitoring of model and data.
$124,372.5 - $247,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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PETADATA is currently looking to hire for the position of Lead Big Data Engineer for one of their clients. The Ideal candidate should be able to define the overall strategy and roadmap for Data-driven decision-making and work towards Big Data Technology solutions implementation.
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Skills: SQL, Azure, Data Bricks, Data Lake, ETL, Data Security/Compliance/Governance, Azure DevOps, Data Factory, Big Data Platforms, Microsoft Azure Data Warehouse.
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Experience working with big data platforms such as Hadoop ecosystem (Azure), including in-memory solutions (SAP HANA and Apache Spark) ODDA team is being built under Chief Growth officer organization and is led by Global VP Data Analytics & Insights.
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10+ years of experience with a proven experience in data platform and big data engineering. Job Title: Lead GCP Data Engineer. Hands on and deep experience working with Google Data Products (e.g. BigQuery, Dataflow, Cloud Composer, GCS etc.
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3+ years of experience with big data frameworks (Amazon EMR, Apache Spark) Work on public cloud infrastructure, Big data technologies, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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We are seeking Sr. Lead Software Engineers - Back End Infrastructure / Public Cloud who are passionate about marrying data with emerging technologies in Machine Learning and Generative AI Space.
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Experience with Complex Data Parsing (Big Data Parser) and Natural Language Processing (NLP) Transforms on Azure a plus. The big data engineer should be able to develop prototypes and proof of concepts for the selected solutions.
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Optimize Databricks jobs for performance and scalability to handle big data workloads. 5+ years with Data Warehouse Architecture, hands-on experience with Databricks platform. Implement best practices for data management, security, and governance within the Databricks environment.
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Should be an expert in ETL/Pipeline Development using tools such as Azure Databricks and Azure Data Factory with development expertise on batch and real-time data integration. Should be Expert in relational data processing technology like MS SQL, Delta Lake, Spark SQL, SQL Server, and GitHub.
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4+ years of information technology, audit, or assurance and advisory experience, preferably with a Big 4 or leading risk advisory/ public accounting firm. Must have knowledge of Master Data, system configuration, and process controls.
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As a Analytics COE Program Leader you will be responsible for driving best in class data engineering by designing, building and maintaining cloud native big data solutions. You will lead a team of data engineers and managers as well as drive solutions as a principal data engineer.
$94,000 - $139,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience with big data technologies such as Hadoop, Spark, Kafka, etc. Certifications in relevant technologies (e.g., AWS Certified Big Data - Specialty, Google Professional Data Engineer, etc.
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big data jobs Title: lead in Jersey City, NJ
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