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Senior Databricks Data Engineer

Irving, TX 75039

Category: Other Area(s) Job Number: 41859 Location Requirements: Remote

Job Description

Senior Databricks Data Engineer
- Direct Hire
- 100% Remote
- Must be authorized to work in the U.S. 

  • Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.
  • Collaborate with data engineers, data consumers, and other team members to come up with simple, functional, and elegant solutions that balance the data needs across the organization.
  • Solve complex data problems to deliver insights that helps the organization achieve its goals.
  • Create data products that will be used throughout the organization.
  • Advise, consult, mentor and coach other data and analytic professionals on data standards and practices.
  • Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytic solutions.
  • Develop and deliver documentation on data engineering capabilities, standards, and processes; participate in coaching, mentoring, design reviews and code reviews.
  • Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
  • Deliver awesome code.
Technical Qualifications:
  • 7+ years relevant and progressive data engineering experience.
  • Deep Technical knowledge and experience in Databricks, Python, Scala, Microsoft Azure architecture and platform including Synapse, ADF (Azure Data Factory) pipelines and Synapse stored procedures.
  • Hands-on experience working with data pipelines using a variety of source and target locations (e.g., Databricks, Synapse, SQL Server, Data Lake, file-based, SQL and No-SQL database).
  • Experience in engineering practices such as development, code refactoring, and leveraging design patterns, CI/CD, and building highly scalable data applications and processes.
  • Experience developing batch ETL pipelines; real-time pipelines are a plus.
  • Knowledge of advanced data engineering concepts such as dimensional modeling, ETL, data governance, data warehousing involving structured and unstructured data.
  • Thorough knowledge of Synapse and SQL Server including T-SQL and stored procedures.
  • Experience working with and supporting cross-functional teams in a dynamic environment.
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Knowledge and understanding of Boomi is a plus.
Additional Qualifications and Experience:
  • Excellent problem-solving skills and experience.
  • Effective communication skills.
  • Strong collaboration skills.
  • "Self-starter" attitude and the ability to make decisions with minimal guidance from others.
  • Innovative and passionate about your work and the work of your teammates.
  • Ability to comprehend and analyze operational systems and ask appropriate questions to determine how to improve, migrate or modify the solution to meet business needs.
  • Experience with data ingestion and engineering, specifically involving large data volumes.
  • Knowledge of CI/CD release pipelines is a plus.
  • Understanding of Python and knowledge of parallel processing frameworks like MapReduce, Spark, Scala.
  • Knowledge of the Agile development process.
Working Conditions:
  • Remote.
  • Occasional time outside of core hours depending on priorities and deliverables.
  • Some travel (with advance notice) may be required for training, team meetings or other events.
  • Bachelor’s degree in computer science, information technology, business management information systems, or equivalent experience.

Meet Your Recruiter

Perry Gross

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About Irving, TX

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