Associate Data Engineer

Artech
Fort Worth, TX, United States
2 days ago
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Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
1 year minimum
Working hours
Regular working hours

Tech stack

Business Analytics Applications Microsoft Azure Big Data Cloud Computing Cloud Engineering Information Systems Computer Engineering Continuous Integration Data Migration Data Systems Data Warehousing DevOps
+15 more
Python (Programming Language) Performance Tuning Standard Sql Azure Data Lake SQL Databases Azure Data Factory Apache Spark Solid Principles Information Technology Data Analytics Data Management Stream Analytics Data Pipelines Serverless Computing Databricks

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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