We are seeking a highly skilled and motivated Data 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 power our predictive & descriptive use cases.You Will:Design, build and maintain robust & scalable data pipelines to feed descriptive analytics, predictive analytics, and reporting use cases.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.Work closely with business partners, data scientists & BI team to understand the business process and data needs to translate them into an effective data solution.Collaborate with Stakeholders, Analysts, Data Scientists to understand the data requirements & deliver optimal solutions.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:3-5 Bachelors' degree in STEM related field or equivalent.At least 4 years of experience in Data Engineering or similar role.Strong understanding of data engineering principles, standard methodologies, 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 Data warehouse.Understanding of Data modeling and in particular Dimension modeling.Strong analytical and problem-solving skills.Excellent communication and collaboration skills to work across multiple groups within the organization.Experience with Alteryx.Experience in the insurance industry.Experience with Databricks Workflows.Location & Travel:Seniority levelAssociateEmployment typeFull-timeJob functionInformation TechnologyIndustriesInsurance
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