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Strong knowledge of Extraction, Transformation and Loading (ETL) processes using frameworks like Azure Data Factory, Synapse, Databricks, Informatica by gathering requirements from the stake holders or analyzing the existing code and perform enhancements or new development.
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Proficiency in designing and implementing ETL processes and data integration workflows using tools like Apache Airflow, Informatica, or Talend. The Data Engineer builds pipelines that are used to transport date from a data source to a data warehouse.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience implementing and maintaining data platform core services (data lake, data integration, data warehouse) and configuring and integrating infrastructure and PAAS (e.g., Azure Data factory, Informatica cloud services, Databricks, Data gateway and Qlik Sense, Power BI.
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Experience with ETL Tools (Informatica, DataStage, Data Build Tool, etc.) Snowflake, DBT, ETL Informatica, SQL, PREFERRED QUALIFICATIONS:? Essential Skills: Snowflake, DBT, Informatica, SQL, Python.
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As a Senior Data Platform Engineer on the MMA IT Data and Analytics Team, we will count on you to design, monitor, build, and automate data pipelines. Learn more about what makes us different and how you can thrive as a Senior Data Platform Engineer at MMA.Marsh McLennan Agency (MMA) provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Hands-on experience working with Azures PaaS offerings such as Purview, Databricks, Azure Data Lake Storage, Data Factory as well as monitoring of the environments. Implement data engineering, ingestion, and curation functions on Azure cloud using Azure native programming.
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Tech stack: BigQuery , any ETL tool (Informatica, Talend, DataStage), Dataflow, Dataproc. 1-2 years of working experience in converting ETL jobs( in Informatica/Talend,/DataStage) into Dataflow or Dataproc and migrated in CI\CD pipeline.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Tools to secure the data within your purview (e.g., Redgate Catalogue, Masking and Cloning) 5+ years of experience in data software development building data platforms for batch or streaming ingestion, processing the data for analytics, and storing the data in various stages.
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Experience in data integration and building complex ETL pipelines using ETL tools, including Informatica, Datastage, Clover DX, AWS Glue, Knime. Big Data Engineer. 5+ years of experience in building data engineering solutions utilizing AWS services (S3, Kinesis, Lambda, Glue, SNS) or Data platforms like Databricks/Cloudera.
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3+ years of Experience with specialized data architecture (e.g., data lake, lake house, data fabric, data mesh, optimizing physical layout for access patterns) Operationalize large-scale enterprise data solutions and applications using Azure data and analytics services.
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Participate in provisioning data storage services, transforming data and implementing security requirements. In this role, you will:Implement innovative technologies to engineer Platform services, container orchestration technologies, and CI/CD automation.
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5+ Years of experience in ETL tools like Matillion / DataStage / Informatica / Talend5+ Years experience in using AWS Services like Kinesis Streams, Lambda, Athena, RedShift, S3, DMS, SQS, SNS, Elastic Cache and EKSStrong knowledge in Java, Python, SQL, NodeJSIdentify the opportunity for automation and design/build the end-to-end solutions.
$147,410 - $174,600 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Integrate, transform, and consolidate data from both structured and unstructured systems into a structure that is suitable for building analytics solutions. Creates Infrastructure as Code (IaC) scripts (Bash, JSON, YAML, Terraform, CloudFormation.
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2+ years of hands-on development experience with event based streaming technologies (Apache Kafka / Azure Event Hub or similar) Leverage DevOps techniques and practices like Continuous Integration, Continuous Deployment, Test Automation, Build Automation and Test-Driven Development to enable rapid deployment of end user capabilities.
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We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other wellbeing programs as well as employee assistance programs.
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informatica job Title: data engineer
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