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3+ years of experience working on Spark (RDDs / Data Frames / Dataset API) using Scala/Python to build and maintain complex ETL pipelines. Documenting database designs that include data models, metadata, ETL specifications and process flows for business data project integrations.
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Utilize Hartigen Power Optics, TRM Tracker, Alteryx Workflow, and other relevant tools to optimize data analysis, reporting, and workflow processes. Responsibilities: Lead and oversee projects focused on commercial systems within a cutting-edge renewable energy company, with expertise in Hartigen Power Optics, TRM Tracker, and Alteryx Workflow.
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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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At least two years experience in implementing, automating and integrating Big Data infrastructure resources like S3, Redshift, Aurora, Kinesis, Kafka, EMR, Lambda, SNS, Azure Blob Storage Account ,SQL Data Warehouse, Microsoft Event Hubs , HDInsights, Azure Databricks, Azure Functions,Event Grid, Data Lake Analytics in an ephemeral/transient and in an elastic manner.
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Strong experience working with ETL/ELT concepts of data integration, consolidation, enrichment, and aggregation in large volume data sets. Experience with cloud-based data warehouses - e.g. Snowflake, BigQuery, Azure Synapse, RedShift, etc Create supporting documentation, such as metadata and diagrams of entity relationships, business processes, and process flow.
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Knowledge of various industry ETL scheduler tools like Informatica scheduler, ESP.Experience in understanding data models/ER diagram. The Quality Engineer plays a key role in executing the assigned tasks as per the various test automation initiaves and plans related to functional, smoke and regression testing as well as test data management and test environment strategy and provisioning.
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Knowledge of other BI and ETL tools like Tableau, Alteryx, Splunk and data sources like Hadoop and Oracle. Experience with ETL, SSIS, SSAS, SSRS, and extracting, transforming, loading data into data warehouses.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Leading the team through the life cycle of a D365 implementation providing key inputs during design, migrating data from external systems; conducting and supporting solution testing; building test cases; assisting with functional, system and user acceptance testing and conducting and supporting user and administrator training.
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Developing data journalism study content with mentorship and support from our data journalist. You’ll work closely with our Communications team to build awareness and reputation for the Jerry brand, primarily through media relations and data journalism.
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Must have at least 1 year experience with: Power BI; and Data Prep Tools, including Alteryx, Tableau Prep, and Power Query. Utilizing experience with: SQL, Data Modeling, Data Warehousing, Developing Business Objects and Dashboards, AIX, LINUX, Essbase, AbInitio, Software Testing and UAT, Autosys, Oracle, and ServiceNow.
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Assist with periodic testing of disaster preparedness for the Azure Cloud Platform, TN and TX FHN Data Centers. Knowledge of: advanced level administrative knowledge of Microsoft Active Directory, Azure Active Directory, and hybrid identities; and familiarity with creating and tuning data loss prevention policies and data classification policies.
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Experience establishing frameworks for data quality, data governance, stewardship, and metadata management. Experience with building data warehouses/lakes that are downstream from packaged applications such as Guidewire, Duck Creek, or XML-based applications are beneficial.
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Experience in integrating data from multiple sources and developing highly functional analytical reports and dashboards/visualizations in Microsoft Power BI. Competent with Power BI Desktop, on-premises data Gateway and Report Server.
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Quality Management System (QMS) Establishing, investigating, analyzing, verifying, assuring, and sustaining part/process quality (OEM, Supplier) stemming from your broad technical experience across the Product Life Cycle coupled with an array of industry recognized quality tools (skills) – and applying that appropriately, thoroughly, and timely.
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Core Responsibilities:Ensure transaction/position integrity in Sterling’s records (Advent APX) against client custodial records, and also to Sterling’s OMS (Charles River) and relevant reference data (Bloomberg, etc.
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alteryx etl data quality jobs in Charlotte, NC
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