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5+ years in Snowflake in AWS and Talend Data Integrator or other BI/ETL tools. Hands on experience working with Talend or SSIS as an ELT tool with Snowflake and SQL server Data Integration.
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Experience in building data pipelines (ELT) with Snowflake cloud data platform using AWS compute (EC2) and storage layers (S3). Experience in building data pipelines using Talend and automation of data ingestion including change data capture (CDC.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Must have 2 plus years of experience in implementation of Data Coud using Snowflake, Azure Synapse, GCP GBQ or AWS Redshift. Must have good technical understanding and knowhow on ETL tools like Informatica, DataStage, ISIS or Talend.
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Experience with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud) including familiarity with relevant tools and technologies (e.g., S3, Redshift, BigQuery, etc.) Proficiency in designing and implementing ETL processes and data integration workflows using tools like Apache Airflow, Informatica, or Talend.
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ETL/Data integration/Streaming Talend, DataBricks, Python, Spark, Kafka. Current experience with AWS, APIs, accelerators, DevSecOps. Cloud Architecture Certification (AWS, GCP, or Azure) or strong architecture experience on Cloud.
$118,800 a yearExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience with public cloud environments(AWS, Azure, GCP), preferably experience with Google Cloud services like Bigquery, GCS, Cloud Composer, PubSub. Experience with big data tools: Hadoop, Spark, Kafka, Spark & Kafka Streaming, Python, Scala, Talend etc.
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You like to work with modern architecture and latest open source technologies: Microservices, Docker, Terraform, AWS, Node.js, Java, Python and many more. Assist in building data platform infrastructure (Snowflake , Talend) and pipelines to support reporting and data science needs within the business.
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2+ years of demonstrated ability with Cloud Stack in AWS, Talend (Integration Tool), Snowflake (Cloud computing data storage and analytic service), Spark, etc. Able to do analysis and make code changes to the DataStage ETL, Java, Talend (Cloud), and Unix jobs.
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Minimum 5 years of experience with ETL/ELT design and development using tools like IICS, AWS Glue, Talend, Databricks, Oracle Data Integrator (ODI) or equivalent. AWS Solution Architect certification.
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We are seeking a highly skilled and experienced Senior Data Engineer specializing in data warehousing and data quality practices, proficient in the Azure, AWS, and Talend toolsets to lead the dissemination and analysis of local and global datasets toward our future growth.
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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.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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5+ years' experience with ETL/ELT tools such as AWS Glue ETL, Talend, Datastage etc. Implementation experience for Hadoop distribution platforms like Cloudera or AWS EMR. 5+ year support experience of Big Data technologies in Hadoop ecosystem - Hive, HDFS, MapReduce, Spark, Yarn, Kafka, Pig, HBase, Sqoop, Elastic Search, Kerberos.
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Databricks, Python, JavaScript, Kafka, dbt, Terraform, Snowflake, SQL, Jenkins, Github, Airflow, OpenSearch (Elasticsearch & Kibana), Talend, Alation, Neo4j, Hashicorp Vault / AWS Secrets Manager, Docker / OpenShift / Open Cloud Foundry, MongoDB, Docker, BlackDuck, SonarQube.
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5+ years of experience integrating data between operational databases using data integration tools like Informatica, CloverDX, Datastage, Talend, Pentaho Data Integrator, or SSIS. 3+ years of hands-on experience with Snowflake and AWS cloud technologies, including AWS Glue, AWS Lambda, and AWS S3, EC2, ECS, Kenisis, DynamoDB, etc.
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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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