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Good understanding and experience in ETL (Microsoft Integration Services/SSIS) Working knowledge of Microsoft SQL Server Solutions, SQL Server 2008, Integration Services (SSIS), Analysis Services (SSAS), Reporting Services (SSRS), Performance Point Server, MOSS, and Multidimensional OLAP Reporting tools (MS Reporting Services, MS Excel-Pivot Tables, Performance Point Services.
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Basic knowledge of data integration(/ETL)(APIs, PowerShell) The rapidly growing Business Intelligence Group within P&AM is a dedicated development team focused on providing technical insights and data solutions to our clients.
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Keywords: Data Management, Data Analysis, Data Governance, Data Integration, Documentation, Reporting, Visualization, Process Improvement, Stakeholder Communication, Training, Support, SQL, Excel, Data Visualization, ETL, Data Quality, Data Modeling, Database Management, GDPR, HIPAA.
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ETL Error Report and Data Analysis Experience/ Advanced/ Experienceanalyzing Data Migration and Integration Errors/Warnings, determining rootcause, and proposing solutions for remediation.
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This includes all aspects of data creation, data cleansing, metadata creation, data integration, data warehousing, Extract, transform and load (ETL), business intelligence (BI), data migration, and data enrichment.
$75,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Must have extensive experience in ETL development, Data Ingestion and Data Integration using API/microservices based approach. Data & AI, Data Cloud using Snowflake, Databricks, Azure Synapse, GCP – GBQ or AWS Redshift.
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Utilize ETL and ELT processes to streamline data integration and transformation. The ideal candidate should possess deep expertise in ETL, ELT, dimensional data modeling, end-to-end solution architecture, and cloud-native databases and solutions.
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6+ years experience in building and maintaining large-scale ETL/ELT pipelines (batching and/or streaming) that are optimized for performance and can handle data from various sources, structured or unstructured.
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Under the general supervision of the AVP Chief Data Officer, the Senior Machine Learning Engineer provides system and engineering expertise in the development, application and integration of AI, machine learning tools, robots, automation and software system.
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Is a contributing member for data integration and data warehouse ETL and data virtualization enablement. Strong working knowledge with integration/ETL tools like Talend and SSIS, other ETL tools like DataStage, Pentaho are also acceptable.
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We use Kafka for data pipelines, Apache Beam for ETL, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker for containerisation, Kubernetes for container orchestration, OpenStack for our private cloud, Ansible for architecture automation, and Slack for internal communication.
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Utilize the full capabilities of the Databricks platform for data processing, ETL, analytics, and machine learning. Experience in implementing DevOps practices using Azure DevOps or related tools to automate deployment, manage configurations, and ensure continuous integration and deployment for data solutions.
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The position entails a balance of ETL tasks and data engineering responsibilities, with some exposure to the Hadoop/Big Data stack. Role : Sr. Data Engineer ( ETL + Hadoop + Python + Spark/PySpark.
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3+ years of experience in data engineering, data integration, data modeling, data architecture, and ETL/ELT processes to provide quality data and analytics solutions.
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This hands-on Leader role with Azure ETL expertise is a senior level position responsible for implementing a large-scale cloud data analytics platform. Data Integration Arhcitecture, Data Architecture.
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