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Required Skills: Teradata, Datamart, Vulnerability Remediation, Jira, Data Center. Title: Junior Data Engineer Locations: Charlotte, NC (Hybrid), (3 days onsite/2 wfh) Duration: 12 Months Contract Position Type: Contract Job Description: Able to pull headcount, attrition, and key metrics and display them through analytics.
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Functional knowledge of SQL, Data Visualization tools Tableau, Qlik, Looker on Google Cloud/Teradata. Partnering with Business, Strategy, Operations, AI & Data Analytics organizations to identify and implement AI products, use cases and storytelling with insights for workforce planning solutions.
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The ideal candidate will possess an AI background and a comprehensive domain knowledge of Retail Store operations or Call center operations, workforce planning and forecasting processes. MBA/Master's degree in computer science, data science or an AI-related discipline.
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Experience partnering with AI/ML engineers, data scientists, BI teams on analytics projects. The AI programs are executed in partnership with the business and Enterprise AI & Data teams.
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12+ years of IT experience in the Analysis, Design, Development of Data warehouse (DWH), Data Integration, Data migration and Business intelligence Projects using Informatica Power Center, IICS, Snowflake, Oracle, MSSQL Server, Teradata, Tableau, Unix Shell scripting, Power shell scripting, Snowsql, Python, Pyspark, Azure, Azure Devops, AWS etc.
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Experience working with cloud or on-premises Big Data/MPP analytics platform (i.e. Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar) In this role as a Data Engineer on the Meta Data Center’s Data Science team, your primary responsibility will be to partner with key stakeholders, data scientists and software engineers to support and enable the continued growth critical to Meta's Data Center organization.
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Familiarity with DataMart, Vulnerability Remediation, Jira, and Data Center. We are seeking a skilled Data Engineer to join our team in Charlotte, NC. In this role, you will play a key part in our data warehouse projects across multiple databases.
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Advanced skills in Database Management Systems (DB2, Informix, Oracle, SQL Server, Teradata, Cloud, and ODBC Connectivity) with a focus on industrial operations or distribution specific data sources.
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Expertise in ETL Informatica Power center, Unix/shell programming, SQL scripting. Experience in Design/ Development of RDBMS using Teradata, Vertica. Have strong Database knowledge, RDBMS concepts, Data warehousing skills including SCD Type transformation.
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Design and implement security solutions including Center for Internet Security benchmarks and auditing. Lead highly complex data modeling, mapping, integration, and capacity planning efforts.
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Well versed in OLTP and OLAP Data Modeling and Strong knowledge of Entity-Relationship concepts. Data Analyst Developer. Strong experience in data analysis and implementation of business rules.
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Advanced skills in Systems Administration Systems (Bomgar, CyberArk, Request Center, SCCM) Knowledge of mathematics and statistical data analysis. Knowledge of relevant industry and regulatory standards and regulations (currently our operations are regulated by Occupational Safety & Health Administration (OSHA), United States Department of Agriculture (USDA), Food & Drug Administration (FDA), Florida Department of Agriculture & Consumer Services (FDACS), and Georgia Department of Agriculture, Department of Transportation (DOT) as well as Kosher and organic certifying organizations.
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Good experience in data modelling concepts. Good knowledge in data analysis. Expertise in scheduling tools like Maestro, Jenkins, Control M jobs. Nor will CLOUD ANALYTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.
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Works as a liaison between the Data Center and the Teradata Vendor personnel. Planning Work with customers and Teradata vendor using forecast data for any future expansion of hardware.
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Familiarity with Teradata, Data stage, Informatica tools (EDC, Axon, IDQ, MDM, power center), Hadoop and mainframe platforms. Experience working in following technologies: Cloud analytics technologies (GCP preferred) - Big Query, Dataflow, Data form, pub/sub, Kafka, Cloud run, cloud functions, Dataplex , GCS, Cloud SQL, Dataproc, Airflow, Compute Engine, Cloud functions and App engine.
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