Associate Data Engineer
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Role details
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Job description
As noted above, this list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. · Work closely with source data application teams and product owners to design, implement and support analytics solutions that provide insights to make better decisions · Implement data migration and data engineering solutions using Azure products and services: (Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks, etc.) and traditional data warehouse tools · Perform multiple aspects involved in the development lifecycle - design, cloud engineering (Infrastructure, network, security, and administration), ingestion, preparation, data modeling, testing, CICD pipelines, performance tuning, deployments, consumption, BI, alerting, prod support · Develop technical solutions and collaborate within a team environment as well as work independently · Be a part of a DevOps team that completely owns and supports their product · Follow coding standards, best practices and privacy and security guidelines · Be part of multi-functional technical and domain skills team
Requirements
Top Skills: SQL, building data solutions, develops practices, Client Azure(Generic), Python, Sequel, · Bachelor’s degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training · 1+ years experience building data solutions, using agile and DevOps practices. · 1+ years data analytics experience using SQL · 1+ years experience with Cloud technologies (especially Client Azure)
Preferred Qualifications - Education & Prior Job Experience · 2+ years software solution development using agile, dev ops practices. · 2+ years data analytics experience using SQL · 2+ years using SQL, Python and Spark · 1+ years experience with Cloud Technologies (especially Client Azure)
Skills, Licenses, and Certifications · Expertise with a Cloud based technology stack for data management, ingestion, curation and consumption layers. · Azure Databricks 1-3 years of experience is needed for this role
Describe a great candidate that you are looking for and what skills and experience they will have: Knowledge of software design principles, understanding of big data, knowledge of SQL, good work ethics
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