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Strong experience in big data technologies like AWS EMR, AWS EKS, Apache Spark. Design ETL jobs for optimal execution in AWS cloud environment. We are looking for big data developers for ETL project in our enterprise Transparency Services group.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Develop, test and deploy data pipelines, ETL jobs , and d ata processing workflows using big data technologies (e.g., Hadoop, Spark, Kafka, etc. Collaborate with cross-functional teams to identify and gather data requirements for AEP CDP development and deployment.
ExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Work on data integration projects, including ETL/ELT processes to ensure data quality and accessibility. Write efficient SQL queries and use Python (including Spark) for data processing and transformation.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Strong design, coding, debugging and analytical skills, especially across the big data ecosystem (e.g. Kafka, Cloudera, Hadoop, Spark) Can efficiently manipulate data from disparate sources using Alteryx and other ETL tools and have a keen eye towards automation.
ExpandApply NowActive JobUpdated 4 months ago - UpvoteDownvoteShare Job
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Experience designing and implementing cloud based and SaaS data warehouse (e.g. WS, Hadoop, NoSQL) and developing ETL/ELT pipelines. Advanced Proficiency in Scala, Spark and SQL. Proactively drive the execution of our core data engineering, business intelligence, and data warehouse frameworks.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience working with large data sets using big data solutions such as Hadoop, Spark, etc. Design and implement ETL process using SQL, ETL tool and Linux shell scripting to deliver high quality solutions.
$78.73 - $86.73 an hourExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Strong experience in ETL development with Java & Spark. Role: Java Spark Developer. Providing Support and reengineer an existing ETL process. Strong experience with Redshift, AWS S3, SQL.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with Hadoop, Spark, and Docker is a plus. Develop ETL processing components using cutting edge technologies, and write robust tests for on-going quality control. Support developed transformations and ETL frameworks in production trading as well as backtest research.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Domain expertise in high performance databases, ETL and data analytics. Experience optimizing the performance of distributed database systems and frameworks (e.g. production database or Spark.
$176,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated 4 months ago - UpvoteDownvoteShare Job
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ETL Tools: Experience with AWS Glue, AWS Lambdas, Python, Spark. Strong understanding of ETL processes and data warehousing concepts. ETL tools: AWS Glue / AWS Lambdas. Experience in processing leveraging Spark is a plus.
ExpandApply NowActive JobUpdated 4 months ago - UpvoteDownvoteShare Job
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Experience using ETL/ELT tools and technologies such as Talend, Informatica, SSIS or DBT a plus. Experience using Spark, Kafka, Hadoop, or similar distributed data technologies a plus. Expertise in building Cloud Data Warehouses in Snowflake, Redshift, BigQuery or analogous architectures.
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Data Engineer having 6-10 year experience in ETL, Data Ingestion and implementation of data warehousing and Data Lake solutions. Strong PySpark/Python programming experience - Partitioning, parallel distributed computation and spark cluster concepts.
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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc. Hands-on experience extracting (ETL using CDC, Transaction Logs, Incremental) and processing large data sets for Streaming and Batch data loads.
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Proficiency in data integration technologies, ETL/ELT processes, data mapping tools, and MDM platforms like Reltio, Informatica MDM, or similar. Experience of working with Reltio L3 configuration, Reltio console and custom jars creation and experience with custom jars creation Experience with messaging software, AWS Hadoop, Apache Spark Excellent debugging and trouble-shooting skills, and persistence in problem solving.
$185 - $195Full-timeExpandApply NowActive JobUpdated Today
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