Don’t send a generic resume — generate a resume and cover letter tailored to this exact role.
Park Place Technologies is seeking a Senior Data Engineer to design and build data pipelines, turning raw data into actionable insights for data scientists and business analysts. You will mentor junior engineers, implement Azure Synapse pipelines with Spark, Python, SQL and C#, and collaborate with analysts to ensure data quality and governance.
Candidates should have 4+ years in Python and SQL for data engineering, a solid SDLC background, and experience with data warehouse and delta lake
The Senior Data Engineer is responsible for collecting, designing, and converting complex 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. As a Senior Data Engineer, one of your primary responsibilities is to guide and mentor junior Data Engineers to ensure they have the necessary skills and knowledge to perform their tasks effectively. This includes setting up guardrails and protocols that help the team achieve their goals efficiently while maintaining the quality of their work. Your role is crucial in ensuring the team's success, as you play a significant part in streamlining their workflow and maximizing their productivity.