Senior Data Engineer

4 weeks ago

Provo, Utah, United States PrincePerelson and Associates Full time
Senior Data Engineer

We are seeking a highly skilled Senior Data Engineer to join our team at PrincePerelson & Associates. As a Senior Data Engineer, you will be responsible for designing, implementing, and maintaining large-scale data pipelines and infrastructure to support our business needs.

Key Responsibilities:
  • Design and implement data pipelines using Databricks, Spark, and other technologies to process and automate data.
  • Develop and maintain data infrastructure to transform OLTP data sources into usable data structures optimized for business intelligence and data engineering.
  • Collaborate with IT and other business stakeholders to consolidate multiple complex data silos into a single enterprise data warehouse.
  • Identify and implement internal process improvements to automate manual processes, optimize data delivery, and redesign infrastructure for greater scalability.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
Requirements:
  • 3-5 years of experience as a technical data engineering experience specifically focusing on automation and quality using Python and Spark-based technologies to process and automate data.
  • 3-5 years of experience designing cloud-based data pipelines using a variety of tools (e.g., Databricks, Fivetran, or similar).
  • 3-5 years of experience with cloud data technologies (e.g., Snowflake, AWS, Azure) and industry best practices around data in cloud platforms.
  • Prior experience as a Data Engineer or similar technical data professional.
  • Deep knowledge of Databricks and experience processing both streaming (Kinesis) and batch data at scale using Python.
  • A strong desire to be a team player and build a collaborative environment.
  • Possess a very strong understanding of Python and ANSI SQL, including accessing remote data outside of the base environment using HTTP, Rest APIs, etc.
  • Demonstrated ability to learn new platforms and technologies.
Preferred Qualifications:
  • 2-year master's degree in computer science or other math-based technical field that requires significant programming.
  • Experience building, maintaining, and optimizing cloud data warehouses.
  • Deep knowledge of OLAP vs OLTP database architectures.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Experience working with APIs and command-line interface tools to automate data extraction, loading, and transformation.
  • Experience working with business users to develop automated quality assurance error checks.
  • Strong project management and organizational skills.
  • Ability to apply analytical and critical thinking to solve complex problems.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • Demonstrate outstanding ethics, integrity, and judgment.
  • Exceptional written communication skills with specific ability to communicate concepts and ideas concisely and defend their validity.
  • Interact with others in a professional and mature manner.
  • Advanced understanding of modern data warehouse practices.
  • Experience with relational SQL and NoSQL databases, including MS SQL Server.
  • Experience building AWS infrastructure.

PrincePerelson & Associates is an Equal Opportunity Employer and we do not discriminate against applicants due to race, color, religion, sex, national origin, age, disability, genetics, veteran status, or on the basis of disability or any other federal, state or local protected class. All applicants applying for U.S. job openings must be authorized to work in the United States.

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