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Title:Sr. Big Data Developer with ETL testing. Hands-on experience in pandas, numpy, pyspark, big data technology. 10+ years of experience in developing test automation utilities for data reconciliation validation using python data science libraries.
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AWS, Azure, Oracle) Knowledge of Infrastructure as Code (IAC) languages, preferably Terraform Strong knowledge of databases (SQL and NoSQL) Experience with Kafka, Apache Spark, Lucene and other big data technologies Disclaimer:Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.
$74,800 - $178,200ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are looking for a big data developer who is passionate about working with large scale systems using cutting-edge technologies and tools to help identify and disrupt malicious threats on the Internet.
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Nor will Cloud Big Data Technologies require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.
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At least 3 years of hands on experience with Hadoop distributed frameworks while handling large amount of big data using Spark and Hadoop Ecosystems. Spark Developer with Python/Scala.
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Understanding of Google Cloud Platform (GCP) technologies in the big data and data warehousing space (BigQuery, Cloud Functions, etc. Jav SQL Python Google Data Center Data Warehouse Google Plx Data Studio Looker Tableau Google Cloud Platform (GCP) Google plx dashboards GoogleSQL BigQuery SQL scripting.
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Role : Data Analyst / Data Engineer / BI Developer. Experience with data platform and visualization technologies such as Google plx dashboards, Data Studio, GoogleSQL, and BigQuery.
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DynaConnections is a rapidly growing SaaS company founded in 2001, based in Austin, TX. We provide a mission-critical SaaS application that enables organizations to utilize their big data with the best and highest use.
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Have a gift for keeping the big picture in mind, and enjoy problem-solving? Experience in the world of Real Estate data. As a Software Developer at dynaConnections, you will have an opportunity to significantly impact organizational growth and effectiveness by delivering dynaConnections' best in class technology solutions.
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Infosys is seeking a Big Data Lead Developer. Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala. Proficient understanding of distributed computing principles, management of Hadoop clusters with all the included services and Big Data processing technologies.
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In the role of Spark Developer with Scala/Python, you will interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle including Requirements Elicitation, Application Architecture definition and Design.
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Responsible for Big Data Production environment which includes Hadoop HDFS and YARN Hive Spark Livy SOLR Oozie Kafka Airflow Nifi Hbase etc. Person will be responsible to Perform Big Data Administration and Engineering activities on multiple Hadoop Kafka Hbase and Spark clusters.
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Be able to see big picture of an enterprise, connected systems, interfaces, downstream impacts when designing solutions. Demonstrate clear proficiency in architecture (web app, micro-services-based APIs, data stores) and designing solutions using modern, scalable and open-source solutions.
$92,981 - $179,438 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Demonstrate a strong understanding of AWS big data architecture and its application in cloud development projects. AWS certification (e.g., AWS Certified Developer) is a plus. Role: AWS API Developer.
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Job Title: Spark Developer with Scala/Python. Job Title: Spark Developer with Scala/Python. At least 2 years of experience with Scala/Python/Java required. At least 1 year of hands on experience with Scala.
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big data jobs Title: developer in Austin, TX
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