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As a Senior Data Engineer, you will play a vital role in our Data Engineering team, responsible for the development and maintenance of our Enterprise Data Platform, which encompasses a Serverless Data Lake, a Cloud Data Warehouse on AWS, and core data/application pipelines.
$145,000 - $165,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Leverage in-depth knowledge of Snowflake architecture, features, and best practices to optimize performance, scalability, and efficiency of data pipelines and warehouse operations. Uphold data quality, integrity, and reliability standards throughout the ETL lifecycle.
ExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Hands-on experience with Azure data services including Azure Data Factory, Azure Databricks, and Azure Synapse Analytics (formerly SQL Data Warehouse). Lead the migration of data from Azure Synapse to Databricks, ensuring data integrity, performance, and scalability.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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POSITION SUMMARY The primary responsibility of the Data Engineer is to design, develop, implement, and support core systems that enable the acquisition, curation, modeling, and consumption of data for data integration, data analytics and data science within the company.
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Tests data quality by analyzing data integration from all sources; defining load validation, meta data updating, and data integrity processes; establishing quality standards, monitoring systems, and audit and reconciliation processes.
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This individual will be responsible for defining high volume data processing pipelines in a multi-tenant environment, verifying data integrity and curating data for consumption by data warehouse, third-party data analytics tools and machine learning models.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Prefer current SQL database certification upon hire: Microsoft Certified Solutions Engineer (MCSE), Oracle Certified Professional (OCP), or SAP HANA Data Modeling. Must have exposure to reporting tools, database services (SAP HANA, SSIS, Apache Nifi), or data modeling, warehouse, and virtual universe design.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Formulate and execute ELT / ETL strategies to transfer data from internal sources to operational data stores, Azure data lake, and data warehouse. Ensure data integrity through validation and testing mechanisms.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Job Title: Senior Data Engineer (Snowflake) Excellent experience supporting Snowflake Data Warehouse, including Snowpipe (including streams), tasks, transformations, views, dynamic tables.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience with SAP ERP systems – OTC, Finance, Master Data is preferred Certification in relevant areas (e.g., Snowflake, AWS Certified Data Analytics, Google Cloud Professional Data Engineer) is preferred Strong dedication to code quality, automation and operational excellence using CI/CD pipelines and unit/integration tests.
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Must have experience implementing modern secure data engineering paradigms and data modeling for efficient and secured data movement across systemsStrong database design and development experience should include data modelling, SQL query/stored procedure development, indexing, referential integrity, join types, metric development, and familiarity with data warehouse design including cubes, fact, and dimension tables.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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As a member of the Data Platform Engineering team, you own the core Big Data/ML platform, data ingestion, processing and serving, ETL/ELT pipelines, data governance and security compliances, data analytics and visualization tooling, data modeling and data warehouse that powers our Product, Engineering, Analytics, and Data Science teams for experimentation, operational excellence, and actionable insights, so as to fuel and accelerate business growth.
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Analyze data to ensure it meets specific data management, data governance, and data quality assurance requirements before processing the data within the Data Lake and data warehouse.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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About the Role:We’re looking for a Data Engineer to help us maintain the foundation of our data warehouse and create an opinionated structure to our data model that can set the standard for our embedded analysts to expand.
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The candidate should be an expert in Python, Spark, and Scala, as well as database technology Source Code Control, and Able to perform data validation, delivery, quality, and integrity. PETADATA is hiring for multiple positions: AWS DATA ENGINEER for one of our clients.
Full-timeExpandApply NowActive JobUpdated 4 days ago
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