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Big Data Analytical Platforms: Experience with big data technologies like Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc. Strong understanding of big data technologies such as Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc.
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Strong experience with Hadoop, Impala, Pig, Hive, YARN, and other big data technologies. 5+ years experience performing data warehouse architecture development and management across one or more data warehouse solutions including BigQuery, Synapse, Teradata, Vertica, or Snowflake.
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Sr. Big Data Engineer-Remote. 3+ years of experience with Big Data tools/technologies like Hadoop, Spark, Spark SQL, Kafka, Sqoop, Hive, S3, HDFS, or Cloud platforms e.g., AWS, GCP, etc.
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Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Architect solutions for the design and implementation of Big & Fast Data Infrastructure on AWS cloud using Kafka, Glue, Athena, Redshift, DynamoDB. AWS Big data service (EMR, ECS.
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Architect and Design Large scale Big Data implementations for Large Organizations using Hybrid methodologies both On-prem Big Data Solutions and Cloud Implementations using Microsoft Azure or AWS.Build and manage a team of talented Cloud engineers with the ability to not only keep up with, but also pioneer, in this space.
$163,500 - $212,500 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Knowledge in Big Data infrastructure (Kafka, Spark, Airflow, ElasticSearch) is a plus. Big Data - we are building modern data pipelines by leveraging Kafka, Spark and Airflow.
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Experience in understanding, designing and architecting Big data platforms services, systems using Java/python, SQL, Databricks, Snowflakes, cloud native tools on Azure & AWS. Proven Experience with Cloud and Big data platforms, building data processing application utilizing Spark, Airflow, Object storage etc.
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Experience with Google Cloud Services such as Streaming + Batch, Cloud Storage, Cloud Dataflow, Data Proc , DFunc, Big Query & Big Table. 5 + years of Data Engineering experience working with both distributed architectures, ETL, EDW and Big Data technologies.
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Building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
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5+ years of experience with data handling/quality tools and Big Data ecosystems i.e. SQL, Google Cloud Platform. Data Steward The Data Governance and Steward position is a high-performing role in support of data management.
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Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, Big Data model techniques using Python / Java. Title: Snowflake DBT Data Engineer. Experience in Data Migration from RDBMS to Snowflake cloud data warehouse.
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This is a strategic position that utilizes data mining, big data, analytics, data science and visualization tools to generate unique and creative points of view that help advance a holistic and statistically driven view of market dynamics (Through the lens of total delivered costs.
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The Data Science Solutions Consultant Senior is responsible for the design and development of analytic models, applications, and supporting tools, which enable Data Scientists to create algorithms/models in a big data ecosystem.
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Overall professional experience - 18+ years (Big 5 - Sr Manager or above) Leverage his/her broad business and technical expertise to address technology architecture, blueprinting, data analysis, business modeling, technical design, application development, integration, and enablement.
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big data jobs in Atlanta, GA
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