Data Engineer
Data Engineer
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1 Vacancy
Job Description
Data Engineer
The Data Engineer is responsible for collecting managing and converting raw data into information that can be interpreted by Data Scientists and Business Analysts. Data accessibility is the ultimate goal; which enables our organization to utilize data for performance evaluation and optimization.
What youll be doing:
- Implement pipelines to move raw data in Azure Synapse using spark python SQL and C# in line with well-established architectural standards related to Data Warehouse and Data Lakehouse modeling standards.
- Develop machine learning and regression analysis skills in spark-python-pandas openai and Azure ML.
- Employ Azure Devops and Git in line with the Software Development Life Cycle best practices.
- Interpret requirements provided by Business and Data Analysts.
- Act as a liaison with Business Analysts and Testing teams to promote smooth development execution.
- Triage and troubleshoot perceived data aberrations submitted by the user community.
- Other duties as assigned.
What were looking for:
- 2 years of practical or collegiate experience (or equivalent) in Python related to data engineering (spark pandas etc).
- 2 years of practical or collegiate experience (or equivalent) in SQL related to data engineering (or equivalent collegiate experience / certifications).
- Solid understanding of the Software Development Life Cycle.
- Good data analytics background.
- Motivated individual looking to expand their knowledge in all areas of Data Engineering Analytics and AI.
Bonus Points:
- Microsoft Cloud Certification
- Familiarity with machine Learning and AI
Education:
- Bachelors Degree or Relevant Certifications & equivalent years of experience
Travel:
- <10%
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Park Place Technologies is an Equal Opportunity Employer D/V.
Park Place Technologies has an in-house recruiting team that focuses exclusively on the hiring needs of our company. We are not currently accepting additional third-party agreements or unsolicited resumes. If you would like to be considered as a preferred partner with Park Place Technologies please submit your detailed information to Any CVs submitted directly to hiring managers will be considered unsolicited and become the property of Park Place Technologies.
Employment Type
Full-Time
