Sr. Data Engineer (Azure/Databricks/Python)

Responsible for delivering senior level innovative and compelling software solutions for our consumer, internal operations, and value chain constituents across a wide variety of enterprise applications. The job duties and requirements are defined for backend. Provides technical leadership and mentorship to junior team members. Responsibilities • Designs, develops, and delivers solutions that meet business line and enterprise requirements. • Creates data and reporting infrastructure by building and optimizing production-grade data pipelines using continuous integration/ continuous deployment. • Participates in rapid prototyping and POC development efforts. • Understand business and technical requirements and constraints to design effective data engineering solutions. • Assists in efforts to develop and refine functional and non-functional requirements. • Champion engineering excellence, including software design patterns, code reviews and automated unit/functional testing. • Create conceptual architectures and detailed designs for data engineering solutions. • Contributes to overall enterprise technical architecture and implementation best practices. • Participates in iteration and release planning. • Performs other duties and projects as assigned. Qualifications Bachelor’s Degree required, and a minimum of five plus related work experience. Required Skills • Design and implementation of data lake, data warehouse and data mart. • Web API, REST, GraphQL, XML/JSON. • ETL/ELT, and one of data engineering languages (Python/Java/Scala). • ADF, ADLS, Airflow, DBT and any of cloud-native data warehouse (Snowflake, Databricks, BigQuery). • Strong SQL experience, with expert-level skills in query performance tuning and data modeling. • Designs enterprise database systems using Microsoft SQL Server. • Has working knowledge of GIT. Develops branching and merging strategies. • Ability to design, develop, and maintain scalable, reusable code. • Estimates tasks with a level of granularity and accuracy commensurate with information provided to ensure expectations of delivery are reasonable. • Excels in a rapid iteration environment with short turnaround times. • Knowledge of cubes and SSAS is a plus. • Knowledge of SSRS, Power BI, and Tableau a plus. Preferred Skills • Knowledge of cubes and SSAS is a plus. • Knowledge of SSRS, Power BI, and Tableau a plus.