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Experience with data technologies: Hadoop, Spark, Kafka, Spark & Kafka Streaming, Python, Scala, Talend etc. AWS Cloud Practitioner or more advanced AWS certification preferred. Experience with modern data architectures and modern data platforms like Snowflake, Databricks etc.
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Platform as a Service (Cloudera, Snowflake, Databricks), Integration et Compute (Talend, Dbt, Snaplogic, Spark, Glue. Platform as a Service (Cloudera, Snowflake, Databricks), Integration et Compute (Talend, Dbt, Snaplogic, Spark, Glue.
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Technical skills: Java, ETL, SQL, Oracle Exadata, Hadoop, Talend. Strong understanding in advancement of CI/CD or DevOps Testing Models with GitLab, Nexus, Harness, Tricentis Tosca (Automation Foundation), JIRA, Postman, SoapUI.
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Experience working with Integration Technologies such as MuleSoft,Jitterbit,Boomi, Informatica, Talend,Snaplogic, Salesforce APIs, APEX,and other similar ETL tools. Knowledge of Snowflake, Splunk, Apttus, Docusign, Spring CM, OKTA integration and other cloud solutions.
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Collaborates in implementing components of data strategy – Master Data Management (MDM), data virtualization etc. In the process, the role will have the opportunity to act as a Data Advisory member for the Actuarial, Business Intelligence (BI), Data Science, and Data Engineering teams, as well as a collaborator and contributor to Enterprise Data Architecture.
$113,668 - $203,468 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Middleware & BPM eszközök ismerete (például Talend, IBM MQ) Ismeretek a Microsoft Azure általános koncepcióiról és PaaS-szolgáltatásairól, például IoT Hub & Device Provisioning Service, Active Directory, Azure Devops, Azure Power Apps, Terraform.
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Experience working with cloud ETL/ELT tools (Fivetran, dbt, Matillion, Informatica, Talend, etc.) Work with modern tools such as Snowflake, Databricks, Fivetran, and dbt and credentialize your skills with certifications.
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Hands on experience in performance tuning and optimizing code running in DataBricks, Talend or similar ETL tools. Designing and implementing data ingestion pipelines from multiple sources using Azure Databricks Apache Spark and/or Azure Databricks.
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Familiarity with data integration and orchestration tools like Apache Airflow, Talend, or similar. Develop and optimize data pipelines using Apache Spark, Databricks & AWS native services. Must have 5 + years of hands-on experience with Databricks & AWS in a software engineering/ data engineering capacity.
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As a member of this team, the Lead Data Integration Engineer will be responsible for DTCC’s data integration and management activities using the Informatica Data Quality & Data Integration Hub and supporting other technologies such as Talend tool suite.
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Nice to Have : Experience with enterprise ELT platforms like Talend , Fivetran and flexibility to build an in-house transformation code base using SQL, Python, Airflow etc. Nice to Have : Experience with enterprise ELT platforms like Talend , Fivetran and flexibility to build an in-house transformation code base using SQL, Python, Airflow etc.
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Experience with one of more of the following required: Dell Boomi, Informatica, Talend,Experience with Snowflake and Salesforce required. Experience with one of more of the following required: Dell Boomi, Informatica, Talend,Experience with Snowflake and Salesforce required.
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3 to 5 years of ETL development experience with any leading platforms (Informatica/SnapLogic/Dell Boomi/Talend/Sterling Integrator) 3 to 5 years of ETL development experience with any leading platforms (Informatica/SnapLogic/Dell Boomi/Talend/Sterling Integrator.
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Familiarity with Data warehousing concepts and ETL tools such as Informatica, Talend. We assist companies and non-profit organizations in delivering benefits to their employees. Prime Services Technology is looking for a Software Engineer passionate about developing Data Engineering solutions to support Prime Brokerage Optimize needs.
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Environnement technique : Spark, Hadoop, Hive, Kafka, Elastic, Cloudera, Azure HD Insight, Informatica, Talend, Stambia, DataStage, SAS, DataIku, DataBricks, Qlik, SAP BI (BO), Power BI, Java, Scala, Python, R.
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