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The candidate should have expertise in data modeling, SQL, Python, R, data warehousing, big data technologies, data pipeline construction, data quality, cleansing, version control, cloud services, machine learning, feature engineering, deep learning, and natural language processing.
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Experience with big data technologies and data warehousing. Leverage cloud platforms (e.g., AWS, Azure, Google Cloud/BQ, Databricks) for scalable and efficient data processing and storage. Solid understanding of machine learning, deep learning, and natural language processing.
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Azure Databricks for building and optimizing data pipelines, as well as experience with Azure Synapse Analytics for data warehousing and analytics. Understanding of data modeling, ETL processes, and data warehousing concepts.
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Strong Experience with Cloud Based Data Warehousing & Analytics Platform like Snowflake, Databricks, Amazon Redshift etc. Strong Experience with Cloud Based Data Warehousing & Analytics Platform like Snowflake, Databricks, Amazon Redshift etc.
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Experience cloud-based data warehousing and data lake solutions like Snowflake, Redshift, Databricks. 5+ years of experience with SQL or NoSQL database (PostgreSQL, MySQL, SQL server, Oracle, Aurora, Presto, BigQuery.
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Advanced level proficiency with at least one ETL / Data Orchestration technology (Azure Data Factory, SSIS, Informatica, Alteryx, Ab Initio, Pentaho, Talend, Matillion) Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more.
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5+ years in large scale big data engineering experience and designing best practices in Programming, SDLC practices, Distributed systems, Data warehousing solutions SQL and NoSQL, ETL tools, CICD, Cloud Technologies (AWS/AZURE),Python/Spark, Datamesh and Datalake, Data Fabric.
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Whether facilitating a large warehousing complex, all-star sporting arena, residential development, or planning a mixed-use establishment in a downtown business district, joining Colliers Engineering & Design will accelerate YOUR success.
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Reporting directly to the (Director Supply Chain – NA Rigid Paper division , as a Logistics Specialist, you will be responsible for Logistics Operations, Warehousing Management Capability development, Automation, Transportation Management and optimization across the logistics footprint in North America including Canada and Mexico.
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Extensive experience with Data warehousing tools such as Hadoop, Exadata, Teradata, Collibra, C3 and Visualization Products such as Tableau, Unreal etc. Extensive experience with Data warehousing tools such as Hadoop, Exadata, Teradata, Collibra, C3 and Visualization Products such as Tableau, Unreal etc.
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The Senior Database Engineer position is responsible for creating and maintaining the integrity of reports, data integration, ETL, and the warehousing of system data. Business Systems are defined as but not limited to Irium, Microsoft Navision (ELC), EveryWare, Microsoft Business Center, Oracle CRM, Microsoft Dev Ops, ManageEngine ServiceDesk Plus, Microsoft SQL Server, SQL Reporting Services, SQL Integration Services, Microsoft Power Platform, Azure SQL Services, and Microsoft Data Factory.
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Complies with federal, state, and local warehousing, material handling, and shipping requirements by studying existing and new legislation; enforcing adherence to requirements; advising management on needed actions.
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Experience and expertise with procurements, corporate security, real estate, GL, asset accounting, Treasury & Liquidity Systems and Data warehousing, and reporting. Lead organization in an advisory capacity leveraging Enterprise Risk Management experience working with large-scale industries and institutions to effectuate change, debate risks, and drive resolution at Divisional CIO levels of the organization.
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Qualifications Five years of experience in Data Warehousing, Data integration or Data Engineering projects. Highly proficient in SQL, Python, ETL/ELT tools – (IICS, Databricks, Informatica Power Center.
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Align with Other Data Management Disciplines: Engage with the Data Governance, Data Stewardship, Data Privacy, Master / Reference Data Management, Data Architecture, BI and Data Warehousing, Data Science, and other teams to ensure data quality and metadata management activity aligns with the other capability needs including the Global Data Governance Accountability Framework.
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warehousing job in Charlotte, NC
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