Data Engineer
Data Engineer
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Job Description
Overview
The Data Engineering Team at Park Place Technologies is hiring talented engineers to help us build and ship innovative products and solutions with the latest technology stack to revolutionize our seek selfmotivated and resultsdriven individuals with a strong passion for customer obsession continuous learning and a commitment to product and engineering work culture prioritizes openness trust diversity and respect fostering a healthy and supportive workplace you are passionate about being part of a transformative engineering team we invite you to join us on this exciting journey.
What youll do:
- Design and implement pipelines to move raw data in Azure Synapse using Databricks Spark Python SQL and C# in line with wellestablished architectural standards related to Data Warehouse and Data Lakehouse modeling standards.
- Develop machine learning and regression analysis skills in spark/python OpenAI and Azure ML.
- Follow the Software Development Life Cycle (SDLC) to ensure the development and deployment of data solutions meet quality and business requirements.
- Use Azure DevOps and Git for version control to manage code changes and collaborate effectively with team members.
- 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.
- Mentor team members share knowledge best practices and help create a culture of continuous learning within the team.
- Undertake additional responsibilities as assigned.
What were looking for:
- 7 years of relevant work experience as a Data Engineer or similar role
- 3 years of handson experience with SQL related to data engineering.
- 3 years of handson experience with objectoriented programming.
- C# and Python related data engineering (spark pandas etc.) experience is desirable
- Solid understanding of data warehouse and delta lake design concepts.
- Solid understanding of Data Analytics and Software Development Life Cycle.
- Experience with data integration and orchestration tools.
- Excellent problemsolving skills and attention to detail.
- Motivated individual looking to expand their knowledge in all areas of Data Engineering Analytics and AI.
- Excellent communication and interpersonal skills with the ability to collaborate with diverse teams and stakeholders.
Bonus Points:
- Relevant certifications such as Azure Data Engineer Databricks Data Engineering Associate/Professional certification(s) Databricks ML Data Scientist Associate/Professional certification(s)
- Familiarity with machine Learning AI & reporting tools like Power BI
Education:
- Bachelors degree or higher in Computer Science or related degree is preferred.
Travel:
- <5%
Employment Type
Full-Time
