Job Description: As a senior data engineer, you will play a pivotal role in leveraging advanced analytics and data modeling techniques to unlock business value from complex data sets. Your expertise in predictive modeling, statistical analysis, and trend identification will enable you to construct software systems and algorithms that explain or predict customer behavior, ultimately driving business growth. You will work closely with business analysts to identify patterns and relationships in data, providing actionable insights that inform strategic decision-making. Additionally, you will collaborate with other engineers and architects to design, code, and test new data management solutions, ensuring seamless integration with existing systems. Key Responsibilities: - Design and implement data pipelines using Databricks (Python, Pyspark, Spark SQL) - Develop and maintain high-quality code compliant with industry regulations - Collaborate with business systems analysts and product owners to define requirements - Support development activity in multiple projects, including internal and external customers Requirements & Qualifications: - Data engineering with Databricks: 5+ years - CI/CD with Azure DevOps pipeline: 2+ years - Azure Data Factory for job orchestration: 3+ years - Requirement & Business use case gathering: 3-5 years - Meta data & Data Governance: 5+ years - High-level Design, Data Modeling: 3+ years - Skills in Python, SQL, PySpark, Data Warehousing, Azure Stack (Databricks, Data Factory, DevOps) What We Offer: - Comprehensive mindfulness programs - Volunteer Paid Time off available after 6 months of employment - Company volunteer and donation matching program - Employee Assistance Program - Personalized wellbeing programs through our OnTrack program - On-demand digital course library for professional development Hybrid policy expects employees to work at least Mondays, Tuesdays, and Thursdays at the office unless they have a business obligation out of the office.