Description
Position Summary:
The Senior Data Engineer will be 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.
Requirements:
- Bachelor’s Degree required, and a minimum of four (5)+ related work experience.
- Required Technical 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.
Why work for #teamloanDepot:
- Competitive compensation package based on experience, skillset and overall fit for #TeamloanDepot.
- Inclusive, diverse, and collaborative culture where people from all backgrounds can thrive
- Work with other passionate, purposeful, and customer-centric people
- Extensive internal growth and professional development opportunities including tuition reimbursement
- Comprehensive benefits package including Medical/Dental/Vision
- Wellness program to support both mental and physical health
- Generous paid time off for both exempt and non-exempt positions
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