1 month ago
Menomonee Falls, WI, USASenior
Responsibilities
- Design, develop, and maintain scalable data pipelines, data models, and integration solutions for engineering and test operations.
- Build ETL/ELT processes that ingest, transform, validate, and deliver data from multiple source systems.
- Develop and optimize data warehouses, data lakes, and cloud-based data platforms for performance, reliability, and scalability.
- Establish data quality checks, validation rules, monitoring, governance, documentation, and secure data architecture practices.
- Create reusable data assets, curated datasets, and documentation that enable self-service reporting and analytics.
- Partner with engineering, lab operations, IT, analytics, software development, and business stakeholders to translate data needs into technical solutions.
- Monitor pipeline performance, troubleshoot production issues, and improve data reliability, observability, and maintainability.
- Mentor team members on data engineering standards, coding practices, documentation, and data governance.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, Data Engineering, Information Systems, or a related technical field; equivalent experience may be considered.
- 5+ years of experience in data engineering, software engineering, analytics engineering, or related technical roles.
- Strong SQL proficiency and proficiency in at least one of Python, C#, Java, or Scala.
- Experience designing and supporting ETL/ELT pipelines, data warehouses, data lakes, relational databases, and cloud-based data platforms.
- Experience with cloud environments such as Azure or AWS, including data storage, compute, orchestration, and security concepts.
- Working knowledge of data modeling, database design, data integration patterns, APIs, and scalable system architecture.
- Familiarity with Spark, Databricks, Airflow, dbt, Fabric, or automated testing.
- Understanding of data quality, data governance, data security, documentation, and operational monitoring practices.
- Ability to understand complex business processes, create process maps, and translate operational workflows into data solutions.
- Strong analytical, problem-solving, communication, and cross-functional influence skills.
Categories
Data Engineering
About TTI, Inc.
TTI, Inc. is a specialty distributor of passive, interconnect, electromechanical, and discrete semiconductor components for industrial, aerospace, defense, and consumer electronics manufacturers. Founded in 1971 and headquartered in Fort Worth, Texas, it offers supply chain services and value-added capabilities such as connector assembly, and operates globally as a Berkshire Hathaway company.