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We are looking for a Data Platform Governance Analyst to play a significant role in the implementation and operations of the data engineering governance and compliance frameworks.
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Knowledge of other system technologies like vector, graph, or time-series databases, working with logging systems, APM, and data warehouse technologies, i.e., Redshift/BigQuery. Knowledgeable in Machine Learning, AI, NLP, and data flow for model training is a plus.
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Building data platforms development using Azure SQL database, Azure Data Factory, Azure Storage, Databricks, DBT, Azure Pipelines, Azure IaaS/PaaS related to database and data warehouse/analytical.
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Proven experience (5+ years) in data engineering, with a focus on data warehousing, ETL, and data modeling. Certifications related to cloud platforms (Azure, AWS) or data engineering (e.g., Microsoft Certified: Azure Data Engineer.
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Utilize SSIS for ETL processes, including data extraction, transformation, and loading from various sources into the data warehouse. Design and build data pipelines to integrate data from disparate sources into Snowflake data warehouse.
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Mentoring other members of the Data Engineering team, specifically those in a junior role. Implementing pipelines to move raw data in Azure Synapse using spark, python, SQL and C# in line with established architectural standards related to Data Warehouse and Data Lakehouse modeling standards.
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As a Technical Program Manager, you will provide leadership for data center projects that will include facility implementation planning, development, and documentation of deployment standards, detailed data analysis, and corresponding recommendations.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience in various database and data warehouse technologies including RDBMS, NoSQL, and Big Data. 6 years of experience in a sales engineering or customer-facing role.
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Comfort with sourcing data from a data warehouse via SQL Server or Tableau interfaces a plus. Advanced Excel required, experience with Tableau or Power BI a plus.
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What You Need PhD in operations research, computer science, industrial engineering, or a related technical field specializing in Supply Chain Planning and/or Inventory Management, Order Management, Transportation/Logistics, and Warehouse Management.
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This role will create analytical models and datasets while working with a Data Engineer to develop code for extracting data from source systems, which will include the Relational Enterprise Data Warehouse, Operational Data Store, and Azure Data Lake Store.
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The Data and Analytics Lead Engineer will be responsible for designing, developing, and maintaining complex ETL pipelines that extract, transform, and load data into our client’s data lake/warehouse.
$208,282 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Technical familiarity with cloud technologies, enterprise data warehouse concepts, data integration pipelines and reporting. PMP, CSM and Bachelor’s Degree in Engineering or related field from a reputable university.
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