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Must have strong hands-on experience on data processing tasks using Spark/Python for cleansing and curating to populate analytical models. Strong Data transformation/ETL skills using Spark, Python, PySpark, HiveQL.
$120,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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A financial company is looking for a Data Engineer with experience with Python, Spark, AWS, and Airflow. 3+ years of Data Engineering experience. Spark, Kafka, or Flink. 70% Data Engineering.
$175,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Proven experience as a Data Engineer, with a focus on designing and building data pipelines using Databricks and Spark. Experience with big data technologies such as Hadoop, Hive, or Presto and cloud platforms such as AWS, Azure, or Google Cloud.
$130,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark) 5+ years of experience with data scripting languages (e.g., SQL, Python, R etc.,) Apply data science techniques including machine learning, AI, and statistical modeling across multiple functional areas of the organization to drive improved decision making.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Advanced proficiency in TalenD Open Studio or Profisee Maestro Enterprise Data Warehouse (EDW) tools. Knowledge of any of the common Hadoop Tools; such as, NIFI, Hive, Pig, Oozie, HBase, Flume, Sqoop, Yarn MapRecdce, Ambari, Spark, Java, Python.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Experience with Big Data architectures, data lakes and big data ecosystem of tools (Hadoop, Spark, Hive, Storm, Cloudera, Hbase, HDFS, AWS stack etc.) Assist in the development of a Corporate Data Strategy - this strategy will include how best to leverage ETL, CDC, data warehousing, data marts, operational data stores, enterprise analytics.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Must also have demonstrated experience with designing, building, and operating enterprise-grade data streaming use cases using Kafka, Spark Streaming, Storm, or Flink and using the following technologies and tools: Spark, Python, Scala, Hive, Pig, and MapReduce.
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Job Title: ONSITE Technology Lead | Analytics - Packages | Python - Big Data. Job Title: IT - Technology Lead | Analytics - Packages | Python - Big Data. Exposure on HDFS and Spark architecture.
ExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Experience with NoSQL is a plus Experience in Big Data ecosystem including Map-Reduce, Hive, Spark (core, SQL and pyspark) and UNIX shell scripting Experience with GitHub and leveraging CI/CD pipelines.
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Big Data ecosystem including Map-Reduce, Hive, Spark (core, SQL, and pyspark), and UNIX shell scripting. Bachelor's or higher degree in Data Science, Computer Science, Information Systems, Engineering, or a related field.
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Hands on Experience working with AWS services including Glue, S3, EKS, Data Pipeline, Step functions and establishing connectivity to AWS services like RDS from Informatica, data stage, Apache Spark.
$168,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Data Processing: Develop and optimize ETL processes using Data bricks and related tools like Apache Spark. Data bricks SME Developers with 6+ years of relevant experience.
$65 an hourExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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In-depth knowledge of Data Governance and Management concepts (API integration, metadata, lineage, data quality, data modeling, database etc.) Participate in a variety of activities related to data governance, data strategy implementation, data modeling, data requirements, risk assessment, identification of data challenges, modeling, data manipulation, and/or requirement elicitation.
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Experience in design, development, and maintenance and support of Big Data Analytics using Hadoop Ecosystem components like Spark/Scala. Good experience with "Productionalizing" Apache Hadoop, Apache Spark and Apache Kafka applications (such as monitoring, debugging and performance tuning.
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Skills: Big Data, ETL - Big Data / Data Warehousing, PySpark, Spark, Hive. Hands-on experience with programming using Core Java or Python/Scala Expert on Hadoop and Spark Architecture and its working principle.
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