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Perform complex application design and programming activities in the latest techniques: Scala, Java, Node, REST, microservices, AWS/Cloud infrastructure, Spark, Kubernetes, Docker, Jenkins.
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Strong hands-on expertise in building Data engineering solutions using Java, Apache Spark and Scala. Deep expertise in Performance tuning and optimization of Java/Spark/Scala programs.
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Experience with Informatica, Kafka, CDC, SQL, Irwin, Python, AWS (S3, Athena, Glue, Kinesis, Redshift), Spark, Scala, AI/ML, Modern data platforms, Snowflake, dbt, Fivetran, and Airflow.
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Help us build state of the art solutions that underpin GCRG using cutting edge technologies like Scala, Databricks, Java, Azure Data Lake, Apache Spark, Spring Boot, ReactJS, Kubernetes, Python, Postgres etc.
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Application is using technology including Databricks, Hadoop, SQL, SCALA, Spark, Java, Java Script, Tableau and Teradata to support our business finance organization. This position is for a Java, Java Script and Tableau developer who will enhance the Comparison Tool module for the NGE application and also assist in the migration from Hadoop to Databricks.
$105,800 - $176,300 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience with Databricks/Apache Spark structured streaming, and/or Kafka experience. Develop ETL workflows/data pipelines to ingest data using AWS Data Migration Service (DMS), Scala, Kafka, Restful APIs, and other technologies as determined by the client from multiple transactional systems to the target (including ODS, data marts, and data lake) according to documented logic and source-to-target mappings.
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Hands-on expertise with application design and software development in Big Data across one or more platforms, languages, and tools (Hadoop, MapReduce, Spark, HIVE, HBase, NoSQL & SQL Databases.
$85,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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We are on a path breaking journey to build “Data Integration’ service ( that is built for hyper scale by leveraging cutting edge technologies (Spark, Scala, Livy, Airflow, Redis, Kubernetes, etc.
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Experience in advanced Apache Spark processing framework, spark programming languages such as Scala/Python/Advanced Java with sound knowledge in shell scripting. Specifically, this experience must be in writing Big Data data engineering jobs for large scale data integration in AWS. Prior experience in writing Machine Learning data pipeline using Spark programming language is an added advantage.
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5+ years of hands-on experience with AWS cloud services, such as Apache Spark, with Scala, AWS EMR, Airflow, RedShift. js) and programming languages (e.g., SQL, Java, Scala) to design, build, and maintain complex data processing, ETL (Extract, Transform, Load) tasks, and AWS automation.
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Your primary toolset in your work will be Java microservices, Spark/Scala data processing (also some Flink), Kubernetes and AWS native tooling. Strong familiarity with the Apache Hadoop ecosystem (Spark, Kafka, Hive, Apache Presto, etc.
Full-timeRemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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A Senior Data Engineer will use his or her hands-on expertise in Spark/Hadoop, Scala programming, Linux scripting, AWS, DevOps and API technologies to expand and optimize architecture, data flows, infrastructure, APIs and data pipelines to support the Epsilon PeopleCloud Discovery Platform.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Big Data technologies, Cloud-based technologies (AWS EMR, State Machines, Step Functions, CDK, Glue, TypeScript, CloudWatch, S3, Glacier Archival Storage, Spark Scala Python). Big Data technologies, Cloud-based technologies (AWS EMR, State Machines, Step Functions, CDK, Glue, TypeScript, CloudWatch, S3, Glacier Archival Storage, Spark Scala Python.
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Working knowledge of several distributed computing frameworks e.g., Spark, Hadoop, ElasticSearch, Presto, Kafka, Cassandra, etc. Node. JS, Kotlin, Java, Scala, GoLang. Working knowledge of several distributed computing frameworks e.g., Spark, Hadoop, ElasticSearch, Presto, Kafka, Cassandra, etc.
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We are looking for Senior Cloud data Engineer having at least 15+ years of industry experience in building Enterprise data warehouse solution using Spark with Scala or python. At least 8-10+ years of experience in working in large global teams, especially for high-performance, large-scale systems data warehouse solution using Data bricks , Spark (Python/Scala.
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