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7+ years of experience in ETL development experience with at least 2 years using ETL tools like Talend or IDMC, Data Quality, Data Catalog, Data Governance, B2B or other related tools for development or administration.
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Key Skills: AWS, Spark, Adobe Analytics/AEP(Adobe Experience Platform) platform experience, Glue, Lamda, Python, Scala, EMR, Talend, PostgreSQL, Redshift. Configure AEP to get the data set needed and then use spark (AWS glue ) to load data in the data lake.
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Familiarity with data integration and ETL tools (e.g., Apache Airflow, Informatica, or Talend); Experience with data processing frameworks and tools (e.g., Apache Spark, Hadoop, or Flink.
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Experience in Data Pipeline and integration workflow management tools: Talend, Store Proc, Change Data Capture (CDC), Spark & Azure API. Experience in Data Pipeline and integration workflow management tools: Talend, Store Proc, Change Data Capture (CDC), Spark & Azure API.
$94,900 - $151,600 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Designs, modifies, develops, and implements solutions for ingesting, provisioning and securing data in the Lake (S3), Warehouse (Redshift) and Marts (Redshift and MySQL) using Scala, Apache Spark, Hive, Apache Pig, MapReduce, AWS Data Pipeline, AWS Glue, AWS EMR and Apache Kafka.
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Designs, modifies, develops, and implements solutions for ingesting, provisioning and securing data in our Lake (S3), Warehouse (Redshift) and Marts (Redshift and MySQL) using Scala, Apache Spark, Hive, Apache Pig, MapReduce, AWS Data Pipeline, AWS Glue, AWS EMR and Apache Kafka, as well as Talend.
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Utilizing technologies such as Scala, Apache Spark, Hive, Apache Pig, MapReduce, AWS Data Pipeline, AWS Glue, AWS EMR, Apache Kafka, and hands-on experience with Talend, the engineer contributes to the entire data processing lifecycle.
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12+ years of strong ETL experience on either Informatica, Ab-Initio, SSIS, Talend, or DataStage. Designing and building data pipeline (batch & streaming), extensive experience in Apache Spark, Spark Streaming Kafka.
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Hands-on experience in Scala/Big Data technologies (Spark/Flink, Hive, Oozie, Hbase/Cassandra/MongoDB, Redis, YARN, Kafka) Experience with Java/Scala programming language Experience with shell scripting Experience with ETL job design using Nifi/Streamsets/Talend/Pentaho/etc.
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7+ years of experience building data integration solutions using tools like Informatica, Talend, Mulesoft, Qlik, etc. Experience working with Databricks (or Spark) & Qlik technologies (Replicate and Compose.
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Candidates experienced with the following will be given preference: Spark, EKS, Dockers, Python, Redshift, RDS, CI/CD, Mulesoft, Apigee, Sage Maker, CloudWatch, CloudTrail. Strong working knowledge of ETL tools like Informatica and/or Talend.
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Talend (Data Integration, Big Data) Spark, Scala, Python, Unix, SQL. Développer des applications d’exploration et de manipulation de données (SPARK / pySpark, Scala) afin d’alimenter les flux sortants, les reporting et d’exposer les données.
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Hands on experience in Data Pipeline and integration tools like Talend, Change Data Capture (CDC), Spark & Azure APIs. Hands on full stack proficiency (e.g., Java, SQL, React, JavaScript etc.
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Business Analytics using tools such as Tableau, Alteryx, Talend, Databricks. SQL, Python, Spark, Scala, or R, in accordance with enterprise IT guidelines. Business Analytics using tools such as Tableau, Alteryx, Talend, Databricks.
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Databricks (or its open-source roots: Apache Spark) Experience in ETL and reporting tools like Talend and PowerBI. Databricks (or its open-source roots: Apache Spark) You would be working for an eco-friendly industry with an ongoing desire for growth.
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