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You’ll have the opportunity to work alongside other talented engineers, CTO, and data scientists on cutting-edge big data, search, machine learning and analytics problems. You’ll combine your technical vision, analytical, communication and leadership skills to drive the design, development and implementation of big data systems.
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As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force in technical initiatives that will accelerate analytics at Client. Big Data Engineer.
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Experience with Big Data Technologies (NoSQL databases, Hadoop, Spark, Elasticsearch, Databricks, etc.) Define the vision, requirements, and lead development of the Enterprise Data Lake focusing on the business needs.
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Hands-on experience with big data technologies, including Apache Spark and Databricks Delta Lake. Stay abreast of the latest advancements in Databricks and other relevant technologies to continually enhance data engineering practices.
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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake,Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar). 3+ years' of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M.
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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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Big Data Architect – FX Trading. Demonstrated understanding of enterprise data warehouse, big data, BI & analytics, content management and data management. Facilitate the establishment and execution of the roadmap and vision for information delivery and management, including the enterprise data warehouse, big data, BI & analytics, content management and data management.
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Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.
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Experience with Big Data Technologies (NoSQL databases, Hadoop, Hive, Hbase, Pig, Spark, Elasticsearch, Databricks, etc.) Experience with a breadth of Data Integration tools, Databases, Big Data Platforms, Cloud-based data platforms and Data Streaming technologies, Cloud Azure and GCP platforms.
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Data Warehouse and Big Data Experience: Possess hands-on experience in designing and maintaining data warehouses and/or data lakes using big data technologies such as Hadoop, Spark, and specially DataBricks.
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Building automation monitoring tools for Big Data and working with data engineering-related tools and technologies, including: Kafka, Data Warehouses, and Apache Airflow.
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3+ years designing and building large-scale data processing systems using Apache Pyspark, Apache NiFi, and other big data technologies. This role requires extensive experience in Cloud-based EDW platforms and a strong foundation in big data technologies.
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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. 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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Architect and drive the end-end Big Data deployment automation from vision to delivering the automation of Big Data foundational modules (Cloudera CDP), prerequisite components and Applications leveraging Ansible, Puppet, Terraform, Jenkins, Docker, Kubernetes to deliver end-end deployment automation across all ServiceNow environments.
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big data jobs Title: technology lead Company: Change Healthcare
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