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The ideal candidate will have a robust understanding of big data processing, experience with Apache Spark, and a proven track record in Python programming. Experience with at least one cloud provider (AWS, Azure, GCP), including their big data processing services.
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Experience with multiple large-scale Enterprise Hadoop or Big Data, Data Bricks, Cloudera, HD Insights, or other environments focused on operations, design, capacity planning, cluster setup, security, performance tuning, and monitoring.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers.
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Job Title: Sr Big Data Developer. Hands On Technical - Oracle, PL/SQL, DB, Big Data. Experience in Implementing & Automating Data ingestion solutions using Hadoop, Sqoop, Hive, Impala and Spark.
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The work involves designing, developing, and implementing data models, index structures, and storage strategies; ingesting/indexing processes and transforming/normalizing data to common standards using log aggregation tools (e.g., Elasticsearch and Splunk); enriching data upon ingest and querying; and creating queries against big data.
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Spark/Big Data Developer. Bigdata Developer - Spark Developer - Data Engineer (No C2C & No OPT) Degree in an analytical field such as Data Science, Machine Learning, Analytics, Statistics, Computer Science, or highly quantitative engineering.
Full-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Experience with big data technologies (e.g., Hadoop, Spark, Clickhouse), NoSQL databases (e.g., MongoDB, Cassandra) and traditional RDMS (PostgreSQL) Knowledge of data governance principles and regulatory requirements (e.g., GDPR, HIPAA.
$55 - $60 an hourExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Big Data-Hadoop, NoSQL, Hive, Apache Spark. Work with cloud and data architects to define robust architecture in cloud setup pipelines and work flows. Design and Develop SQL , Hive queries, APIs to extract data from the store.
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Data analysis skills to debug, trace and fix performance and production problems. Unix/AWS experience is a big plus. Strong ETL SSIS Development/Testing experience. Strong experience in developing end to end jobs as part of ETL.
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Implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies Apache Spark. Experience with big data technologies like Hadoop, Spark, and Kafka.
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Expertise and experience in delivering large-scale systems using big data technologies including but not limited to: Enterprise scale Kafka, Splunk, Prometheus/Loki/Grafana stack, ELK stack and other Time Series databases.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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One or more of the below:Practical experience of Kubernetes /DockerPractical experience of Big Data frameworks/methodologies as: Map Reduce/Spark/FlinkPractical experience with TerraformPractical experience Prometheus or Open TelemetryPractical experience in breaking down user requirements to generic platform requirements.
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Experience building ETL/ELT processes and thorough understanding of big data principles, techniques, and best practices. Minimum 3 years of experience creating dashboards and interactive reports, data analysis in BI tools (Tableau, Streamlit, Looker, etc.
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Experience with Docker, Kubernetes, and Kinesis for big data in real time. Extensive enterprise Java development with Spring Boot microservices in a large enterprise environment. Experience with Docker, Kubernetes, and Kinesis for big data in real time.
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Develop Big Data applications using PySpark or Scala-Spark on Hadoop, Hive and/or Kafka, HBase, MongoDB. Experience in PySpark or Spark-Scala developing Big Data applications on Hadoop, Hive and/or Kafka, HBase, MongoDB.
ExpandApply NowActive JobUpdated 6 days ago
big data jobs Title: developer in Irving, TX
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