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Techtronic Industries - TTI · 21 hours ago

Data Engineer II-Promo Analytics

Menomonee Falls, WI

Full-time

Onsite

Mid Level

3+ years exp

Milwaukee Tool is a leading brand in the construction industry, known for its innovative approach and strong company culture. They are seeking a Data Engineer II to build and evolve data pipelines and models that support analytics for retail promotions and enterprise initiatives, ensuring teams have access to reliable and well-structured data.

Consumer GoodsE-CommerceIndustrialMachinery ManufacturingManufacturingReal Estate

No H1B

Responsibilities

Design and build scalable data pipelines to ingest, transform, and curate data from a variety of systems including APIs, databases, files, and event streams

Review functional requirements & design specs with Senior Data Engineers and business partners and converting to data transformations

Implement and maintain data models such as dimensional models, star schemas, normalized models, and data vault approaches to support analytics and BI

Work with Data Architects and Data Leads to optimize cloud‑based data platforms, ensuring performance, reliability, and cost‑efficient execution of data workloads

Develop and enforce data quality checks, lineage, and monitoring to ensure accuracy, completeness, and trust in enterprise datasets

Leverage your expertise within the software development lifecycle, continuous improvement, and best practices to help drive the team towards rapid success

Automate and operationalize data pipelines using CI/CD, Infrastructure‑as‑Code, and modern orchestration tools

Profile, tune, and optimize SQL, Python, and Spark workloads running in Databricks

Author technical documentation, promote reusable components, and contribute to engineering standards and best practices

Troubleshoot pipeline issues, participate in root‑cause analysis, and help maintain healthy, reliable data operations

Performs other duties as assigned

Qualification

SQLPythonDatabricksApache SparkCloud data ecosystemsData modelingData quality checksCI/CDAgile methodologyProblem-solving

Required

Bachelor's degree in Computer Science, Information Systems or equivalent experience

3–5 years of experience in data engineering or a related technical field

Strong proficiency in SQL and a programming language such as Python (preferred)

Experience building and orchestrating data workflows in Databricks, including Delta Lake, notebooks, jobs, and workflows

Hands‑on experience with distributed data processing technologies such as Apache Spark

Experience with cloud data ecosystems (Azure, AWS, or GCP), especially Azure Databricks

Familiarity with cloud data warehouses such as Snowflake, Synapse, Redshift, or BigQuery

Experience working with structured and semi‑structured data (Parquet, Avro, JSON, Delta)

Strong understanding of version control (Git) and modern CI/CD workflows

Strong problem‑solving, debugging, and analytical skills

Ability to work effectively in agile, cross‑functional engineering teams

Preferred

Experience with Databricks Unity Catalog, Delta Live Tables, or Databricks Workflows

DataOps experience (pipeline observability, monitoring, automated quality)

Knowledge of metadata management or cataloging platforms (Purview, Collibra, Alation)

Experience with ML pipelines and feature engineering in Databricks

Familiarity with streaming frameworks (Kafka, Event Hubs, Kinesis) used with Spark Structured Streaming

Knowledge and experience working in an Agile environment

Experience working with retail product promotion data

Benefits

Robust health, dental and vision insurance plans

Generous 401 (K) savings plan

Education assistance

On-site wellness, fitness center, food, and coffee service

And many more, check out our benefits site HERE

Company

Techtronic Industries - TTI

Glassdoor3.3

Techtronic Industries Company Limited (“TTI”, or the “Company”), founded in 1985 by German entrepreneur Horst Julius Pudwill, is a world leader in cordless technology.

Founded in 1985

Kwai Tsing, New Territories, HKG

10001+ employees