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Working experience using Data Pipeline (ELT or ETL) tools such as Talend, NiFi, dBt, DataStage, or ADE. Hands-on expertise of multiple modern storages and services such as Snowflake, Azure SQL, ADLS2, Azure Cosmos DB, Databricks, MongoDB, CockroachDB, DataStax, Oracle, Sybase, DB2, or Redis.
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Experience working with big data technologies (e.g., Hadoop, Spark, and Hive) as well as ETL tools (e.g., Apache Nifi, Talend, Apache Airflow) and real-time data processing technologies such as Apache Kafka are essential.
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The client is looking for a Senior Azure ETL developer to ingest/transform and load Data Assets and implementation of a cloud-based data management platform that will support the agency.
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Familiarity with modern ETL integration solutions (SSIS, Ab Initio, Datastage, Informatica, Azure Data Factory). The Data Architect will be held accountable for the following responsibilities: Define and implement the long-term technology strategy and innovations roadmaps across analytics, data engineering, and data platformsCreate standards, design patterns, and best practices for ETL development in an enterprise data warehouse environment.
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The Sr. Data Engineer is responsible in understanding and supporting the businesses through the design, development, and execution of Extract, Transform, and Load (ELT/ETL), data integration, and data analytics processes across the enterprise.
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The ideal candidate will have a good knowledge of SQL, Palantir, and Snowflake and have the ability to define data integration with legacy systems. Perform data modeling, ETL (Extract, Transform, Load) processes, and data warehousing using Snowflake.
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Designs, develops, and implements ETL/ELT processes using Azure Data Factory, Synapse pipelines, Databricks Notebooks, Event Hub to build integrations from Saas sources such as Service Now, Workday, Dynamics CRM, and Eloqua.
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Utilize SQL Server Integration Services (SSIS) and Azure Data Factory for ETL processes and data migration. Experience with data integration techniques and tools such as SSIS and Azure Data Factory.
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Experience with data integration and ETL tools (e.g., AWS DMS, SSIS, MuleSoft, Talend). Experience with relational databases (e.g., SQL Server, Oracle, MySQL), big data cloud platforms (e.g., Snowflake, Azure Data Warehouse), and object-oriented data platforms (e.g., NoSQL, Hadoop, MongoDB.
$150ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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And data integration (ETL) development using Informatica, Talend, AWS Glue or similar. Design and lead the implementation of frameworks and best practices for data ingestion, data integration and ETL processes.
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Experience with SAP ERP systems – OTC, Finance, Master Data is preferred Certification in relevant areas (e.g., Snowflake, AWS Certified Data Analytics, Google Cloud Professional Data Engineer) is preferred Strong dedication to code quality, automation and operational excellence using CI/CD pipelines and unit/integration tests.
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Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis. Job Responsibilities:- Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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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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Proficiency in SQL and experience with database management systems (e.g., MySQL, PostgreSQL, MongoDB, Redshift, Snowflake). Proven work experience as a Data Analyst, Data Engineer, Database Developer, Data Architect, Business Analyst or similar role.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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mongodb etl data integration jobs Company: Simmons Foods
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