Data Engineer

We are seeking a highly skilled and motivated Data & Analytics Engineer to join the Enterprise Data & AI team. In this role, you will play a crucial part in designing, building, and maintaining the data pipelines that powers our predictive & descriptive use cases. Your expertise will help us transform raw data into actionable insights, ensuring that our data solutions are robust, scalable, and efficient. The ideal candidate will have a passion for data engineering, thrive in a collaborative environment and are excited about using cutting-edge technologies to drive business success.  

You will 

• Design, build and maintain robust & scalable data pipelines to feed descriptive analytics, predictive analytics, and reporting use cases.  

• Work closely with business partners, data scientists & BI team to understand the business process, data needs and translate them into an effective data solution.  

• Construct meaningful data assets sourced from structured, semi structured, and unstructured data.  

• Ensure data quality, accuracy and integrity of the data assets created.  

• Automate the data pipelines end to end.  

• Participate in data modeling and schema design.  

• Collaborate with cross-functional teams to identify the right data sources for the use cases.  

• Perform data discovery and analysis on various data sources.  

• Find and tell the compelling narrative of the data that aligns to the intended audience.  

• Create and maintain Data Dictionary for the data pipelines.  

• Participate in code reviews and documentation efforts to maintain high-quality code and data documentation.  

You have 

• Bachelor’s degree in STEM related field or equivalent.   

• 4 + years of experience in Data Engineering or similar role.  

• Strong understanding of data engineering principles, best practices, and software development life cycle.  

• Proficiency in SQL, Python, PySpark and bash scripts.  

• Knowledge of Databricks. 

• Experience with the design and development of ETL/ELT process.  

• Experience working in a Datawarehouse. 

• Understanding of Data modeling and in particular Dimension modeling.  

• Experience in Alteryx is a plus.  

• Strong analytical and problem-solving skills.  

• Excellent communication and collaboration skills to work across multiple groups within the organization.