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Experience in developing an end-to-end AWS native platform for building Data lakes (S3, Glue (Crawlers, ETL, Catalog), IAM, CodePipeline, CodeCommit, CloudFormation (or Terraform), CloudTrail, CloudWatch, AWS Config, Guard Duty, Secrets Manager, KMS, EC2, Data Visualization Tool: Tableau run on an EC2 or AWS Quicksight), Athena.
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Knowledge of Snowflake, Splunk, Apttus, Docusign, Spring CM, OKTA integration and other cloud solutions. Experience working with Integration Technologies such as MuleSoft,Jitterbit,Boomi, Informatica, Talend,Snaplogic, Salesforce APIs, APEX,and other similar ETL tools.
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The ideal candidate should have extensive experience in Microsoft Fabric stack of technologies, including Azure Synapse Data Engineering and Azure Data Factory, along with hands-on experience in ETL/ELT and cloud migration.
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Cloud Platforms: Knowledge of cloud infrastructure and services,preferablyAzure, as it relates to Snowflake and Databricks integration. ETL Tools:Expertisein Airflow for data pipeline orchestration.
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This role has production responsibility for the organization s Epic Operational DB (Chronicles), Cogito Databases (Clarity & Caboodle), Cloud Data Platform (Snowflake), ETL Tools (SSIS, Fivetran, CData, dbt), Analytics Tools (Qlik, Astrato), Epic Cognitive Computing Models and Data Science toolset (Dataiku.
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1+ year of experience in data engineering using open-source technology stack along with cloud computing (AWS, Microsoft Azure, Google Cloud) 1+ year Experience working with Cloud Data Warehouse solutions (i.e., Snowflake, Synapse, Redshift.
$72,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Qualifications & Key Skills:Bachelor s degree5+ years in Snowflake in AWS and Talend Data Integrator or other BI/ETL tools. Experience in Data migration from RDMS to snowflake cloud Data warehouse.
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This position will manage a team of Analytics Developers, ETL Architects, DBAs and Data Scientists and is responsible for the design, development, and project management of Analytics solutions, including but not limited to building, enhancing and supporting data warehouses, Data Marts - both on prem and in the Cloud, support Epic Cognitive computing data models and develop and support predictive analytics.
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Consulting, Staffing & Staff Augmentation, Managed Services, design thinking, big data, employee engagement, executive hires, digital engineering services, talent development, R&D Labs, Cloud Computing, DataOps, DevOps, RPA, digital transformation, and AIOps.
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Lead CI/CD and operational automation on various enterprise technology platforms Linux, Windows, AWS, containerization orchestration(Openshift/Docker) over technology assets like ETL, Databases (SQL, Oracle), microservices, Java services, scripts, python, terraform.
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Experience of AWS services like EC2, S3, Glacier, ELB, RDS, Redshift, IAM, Route 53, VPC, Auto scaling, Cloud Front, Cloud Watch, Cloud Trail, Cloud Formation, Security Groups.
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Experience with cloud-based data offerings (Amazon AWS, Redshift, Snowflake, Google GCP, Microsoft Azure)? Snowflake, DBT, ETL Informatica, SQL, PREFERRED QUALIFICATIONS:? Experience with ETL Tools (Informatica, DataStage, Data Build Tool, etc.
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Experience in developing an end-to-end AWS native platform for building Data lakes (S3, Glue (Crawlers, ETL, Catalog), IAM, CodePipeline, CodeCommit, CloudFormation/Terraform, CloudTrail, CloudWatch, AWS Config, Guard Duty, Secrets Manager, KMS, EC2, Data Visualization Tool: Tableau run on an EC2 or AWS Quicksight), Athena, AWS AI (Bedrock, SageMaker, Q.
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Able to do analysis and make code changes to the DataStage ETL, Java, Talend (Cloud), and Unix jobs. Are you a ETL developer or Cloud Engineer that thrives in a fast-paced and constantly evolving environment.
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