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Responsible for day-to-day Onshore - Offshore service delivery operations for Big Data, Cloud, Middleware Integration, SNOWFLAKE, Databricks applications. Experience with Customer support service delivery for Integration Big Data, Cloud, Middleware Integration, SNOWFLAKE, Databricks technology environments.
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Role: Big Data with Python Developer. Experience with the Microsoft Azure or AWS data management tools such as Azure Datafactory, Datalake and Databricks or AWS Snowflake is a plus.
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Minimum 12years of experience as technical architect and should have designed big data solutions on Hadoop based technologies specially Cloudera. Working closely with the stakeholders & designed end to end life cycle on big data, data management, data governance solutions.
$65 - $70 an hourExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Implement concepts of Big Data(Hadoop) ecosystem such as YARN, HDFS, HBase, Zookeeper, Spark, and Hive Accountable for storage, performance tuning, and volume management of Hadoop clusters.
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QTS Data Centers is a Blackstone REIT Portfolio companyQTS Data Centers is seeking a DCIM Engineer II / Controls Engineer II (Senior Data Center Infrastructure Management (DCIM) Engineer) to be based at one of our brand new mega data center campuses in the US. Quality Technology Services (QTS) is a leading provider of data center solutions across a diverse footprint spanning more than 9 million square feet of QTS Mega Data Centers throughout North America and Europe.
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Global Supply toward ‘Industry 4.0’ capability through Big Data, Process Analytical Technology, Advanced Process Control, Artificial Intelligence and Robotics. Familiarity with data science, machine learning and artificial intelligence.
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The newly created Manufacturing Intelligence organization within Client's Global Technology & Engineering will help to drive Client Global Supply toward 'Industry 4.0' capability through Big Data, Process Analytical Technology, Advanced Process Control, Artificial Intelligence and Robotics.
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Must have skills: RedHat OpenShift Container Platform(Operators, OpenShift Data Foundation, OpenShift Pipelines, Image Registry) Kubernetes, Docker, Podman, Elasticsearch/PostgreSQL-DB Administration, Jenkins, GitLab, Kafka, A10 Networks Load Balancing.
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A demonstrated deep technical aptitude in at least one of the following areas: data science, machine learning, mathematics, game theory, computer science / software engineering, blockchain protocol development, statistics, and/or quantitative trading.
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Manage and administer the RedHat OpenShift Container Platform services like Operators, OpenShift Data Foundation,Pipelines,Image Registry, OpenShift Serverless, Routes, S3 Compatible Storage etc.
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Secure access to the Elasticsearch cluster, its data and APIs according to required access control policies and troubleshoot various issues with the clusters (errors like unassigned shards, automation issues, to node/cluster failures.
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Configure and manage OpenShift Container Storage (OCS)/OpenShift Data Foundation (ODF) for stateful workloads and data services across the platform. Any of the following Certifications are a big plus.
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7+ years of working experience in scalable data pipeline using Scala,Python, pyspark, Hadoop, Apache Spark, Spark SQL, Kafka, Nifi, ETL and Incremental Data Load with Big data technologies.
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Must have technical “Hands-on” experience in implementation of data solutions and related downstream systems like data lake using technologies like Informatica IICS, Databricks Python, ADF, Snowflake and other Azure Databases.
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DataBricks, Azure Data Factory, Python, SQL, Data Lake Architecture, Azure DevOps Repos/ Git. (Azure Data Factory, Azure SQL, Azure Data Lake, Databricks). Summary: As a senior data engineer you will be responsible for loading and transforming data within the Data Lake environment while ensuring data quality and consistency.
ExpandApply NowActive JobUpdated 9 days ago
big data jobs Title: developer Company: Joveo Us in Somerville, NJ
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