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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 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:
5+ years of relevant work experience as a Data Engineer or similar role
3+ years of hands-on experience with Python related to data engineering (spark, pandas, etc.).
3+ years of hands-on experience with SQL related to data engineering.
Reporting experience with Microsoft PowerBI.
Certifications related to data engineering.
Solid understanding of the Software Development Life Cycle.
Strong data analytics background.
Strong understanding of non-relational data stores (NoSQL databases) and experience working with them.
Motivated individual looking to expand their knowledge in all areas of Data Engineering, Analytics and AI.
Experience with data integration and orchestration tools.
Excellent problem-solving skills and attention to detail.
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 and AI
Education:
Bachelor’s degree or higher in Computer Science or related degree is preferred.
Travel:
<5%
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)