Data Engineer

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 industry. We seek self-motivated and results-driven individuals with a strong passion for customer obsession, continuous learning, and a commitment to product and engineering excellence. Our work culture prioritizes openness, trust, diversity and respect, fostering a healthy and supportive workplace atmosphere. If you are passionate about being part of a transformative engineering team, we invite you to join us on this exciting journey.  

What you’ll do:    

• Design and implement pipelines to move raw data in Azure Synapse using Databricks, 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, 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 we’re looking for:  

• 7+ years of relevant work experience as a Data Engineer or similar role  

• 3+ years of hands-on experience with SQL related to data engineering. 

• 3+ years of hands-on experience with object-oriented 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 problem-solving 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:    

• Bachelor’s degree or higher in Computer Science or related degree is preferred.  

Travel:    

• <5%