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Utilize Databricks for big data processing and streaming analytics. Experience with big data technologies such as Apache Hadoop, Spark, Kafka, and others. The ideal candidate will have a robust background in big data analytics, data engineering, and cloud computing, with a particular focus on building and optimizing data lakes on AWS. This role is crucial for designing, implementing, and managing advanced data solutions using AWS and Data Lakehouse platforms.
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5+ years of experience with Data and Analytics Platforms on public clouds and/or Azure such as Databricks, Synapse, Fabric, Snowflake or Big Query. Understanding of Data & AI technologies in context of app development (e.g., SQL and NoSQL Databases, Big Data, Cognitive Service, Machine Learning etc.
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Implementation and tuning experience in the Big Data Ecosystem, (such as EMR, Hadoop, Spark, R, Presto, Hive), AWS Solutions Architect, AWS Developer, or AWS Certified Big Data – Specialty (Data Analytics Speciality.
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The ideal candidate will have a strong background in Collibra Data Governance and a foundational understanding of big data platforms like Databricks. Foundational experience with big data platforms, particularly Databricks.
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2 hours to Big Sky ski resort and just over 2 hours to historic Yellowstone National Park! National Instruments Data Acquisition Hardware National Instruments LabVIEW Software. Our client is a successful, developer, designer and manufacturer of advanced technology equipment has enjoyed solid growth in recent years as a result of their cutting-edge technology and distributes their products globally.
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Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query) The Data Capture team for the Data organization within the DE&ET organization is in search of a Lead Software Engineer.
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Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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Architect, design, and code shared libraries in Scala and Python that abstract complex business logic to allow consistent functionality across the Data organization. Maintain detailed documentation of your work and changes to support data quality and data governance requirements.
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The ideal candidate will have extensive technical expertise in AWS Cloud Formation AWS Glue Catalog Amazon Redshift Big Data AWS EC2 AWS EMR Amazon S3 and Python. Design build and manage analytics infrastructure that can be utilized by data analysts data scientists and non-technical data consumers which enables functions of the big data platform for Analytics.
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Experience in big data technologies such as Spark, Hadoop, or Databricks. Lead and execute data migration projects from legacy systems to Snowflake. The ideal candidate will be responsible for architecting and overseeing the implementation of Snowflake data warehouses, optimizing performance, ensuring data security, and leading data migration efforts.
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We’re helping patients get the best care possible by working on digital health experience, analyzing big data to streamline the delivery of care, and reaching out to medically complex patients to better understand their needs.
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Preferred Qualifications Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query). About The Role The Data Capture team for the Data organization within the DE&ET organization is in search of a Lead Software Engineer.
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Experience must include two (2) years of experience in data mining and development of ETL processes; distributed data architectures and big data processing technologies such as Spark, EMR, Hadoop and Hive; and Realtime Frameworks, collection, and processing Realtime data using kinesis Data Streams, KCL, KDA and Firehoses.
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Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity.
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Hands-on experience with distributed systems such as Spark, Hadoop (HDFS, Hive, Presto, PySpark) to query and process data Experience with at least one major MPP (elastic map reduce) or cloud database technology (Snowflake, Redshift, Big Query) Experience with AWS Cloud technologies (S3 at a minimum) Solid experience with data integration toolsets (i.
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big data jobs Title: technology lead Company: Bank Of America
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