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Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plusPrior domain experience of Life Insurance, Annuity or Financial Services is a plusAWS Certifications are considered a strong plusExcellent verbal and written communication skills.
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Experience with big data technologies (e.g., Databricks, Hadoop, Spark) and cloud platforms (e.g., Azure, AWS) is a plus. ex., Databricks, Hadoop, Spark) et avec les plateformes de nuage (p.
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Write program/code in SQL and / or cloud-based tools such as Snowflake or Databricks to cleanse, apply business logic and standardize the data according to business rules, enabling more effective data governance along with clear and efficient end-user reporting.
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3+ years experience with Big Data technologies, such asApache Hadoop, Hive or Spark, Databricks and/or Snowflake. 5+ years hands-on experience with building cloud production data solutions leveraging services and technologies such as AWS EC2, S3, Redshift, RDS, Glue, Athena.
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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.
$70,000 - $100,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Supermicro is seeking a top-notch hands-on Software Engineer who will develop user interfaces using Django and API calls (Redfish, and other Open source projects). Job Segment: Cloud, Test Engineer, Embedded, Software Engineer, Testing, Technology, Engineering.
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Strong proficiency with Databricks, SQL, Tableau, PowerBI, and or any related program. Continue to update any reporting created and or create new reports on Google Looker Studio, Tableau, Databricks, and Excel.
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Net, C#, Android SDK, Kotlin, IOS Swift, AWS: EMR, S3, Redshift, Athena, Glue, DynamoDB, Lamda, CloudWatch, ElastiCache, Kinesis, SNS, SQS, Azure: HDInsight, Data Factory, Data Lake Analytics, Databricks, GCP, and Big Data Apache: Hadoop, Hive, Hue, Sqoop, Kafka, Spark, Airflow, SnowFlake, Python, Scala, Machine Learning: NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Apache Mahout, Vertex AI, Keras, OpenNN, Theano.
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Technical Proficiency: Expertise in SQL and programming languages such as Python; familiarity with big data technologies like Apache Hadoop, Spark, and Kafka. JOB DESCRIPTION Our Opportunity:Chewy’s Data Analytics team has an exciting opportunity for a Senior Data Engineer (Data Engineer III) to join the pack.
$134,500 - $215,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Historian and SQL server work for data collection, monitoring, and reporting. Electrical Engineering, Manufacturing Engineer, SQL, Database, Testing, Engineering, Technology.
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Perform complex data analysis and provide insights using Databricks notebooks and SQL. Experience with Databricks data catalog, including create tables from S3 and make them available in the unity catalog.
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Work with on-prem data sources (Hadoop, SQL Server) and Cloud data sources (GCP) understand the data model, business rules behind the data and build data pipelines (with GCP) for one or more business domains.
$114,483 - $146,301 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience migrating data platforms to Databricks including Hadoop/Cloudera, Teradata, Redshift, etc. 8+ years of professional experience with Data Management technologies and a minimum of 8 years of EDW Experience with 3 - 5 Years of Experience with Databricks, Lakehouse Architecture, and/or Spark/Scala.
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Experience with Python-working with Snowflake- SQL and Databricks. Databricks notebooks to compare data between two data systems-maybe data engineering background.
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Familiarity with VMware virtualization, Commvault data backups/restores, Trellix antivirus software, Kiwi Syslog Server, ACAS, Splunk, RHEL, Citrix, Dell Wyse Management Suite, and thin or zero clients.
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databricks hadoop sql server data engineer jobs Company: U S Bank
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