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Lead Data Engineers - Data & Analytics

Milwaukee

Brookfield (WI)

Remote

USD 90,000 - 130,000

Full time

13 days ago

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Job summary

An established industry player is seeking a Lead Data Engineer to spearhead data initiatives within a dynamic team. This role involves collaborating with business stakeholders to translate analytical needs into technical requirements while leading the design and optimization of data pipelines in a cloud-based environment. The ideal candidate will have extensive experience in data management, cloud infrastructure on Microsoft Azure, and proficiency in modern programming languages. With the flexibility of remote work and a focus on continuous improvement, this position offers an exciting opportunity to make a significant impact in the data landscape.

Qualifications

  • 7 years of experience as a Data Engineer or Architect with a Bachelor's degree.
  • 5 years of experience with a Master's degree in a related field.

Responsibilities

  • Collaborate with stakeholders to define data requirements and designs.
  • Lead the design and build of data pipelines for the Enterprise Data Warehouse.

Skills

Enterprise data management
Cloud infrastructure (Microsoft Azure)
Data pipeline design and optimization (Azure)
Python or Spark programming
SQL, Stored Procedures, Functions, Triggers
Data Vault modeling
RDBMS, data modeling, ETL development
Data governance and metadata management

Education

Bachelor’s degree in Computer Science
Master’s degree in Computer Science

Tools

Azure Data Lake Storage (ADLS)
Azure Data Factory (ADF)
Databricks
Azure Synapse
DevOps

Job description

Lead Data Engineer

Job Description:

Lead Data Engineers—Data & Analytics

13135 W Lisbon Road, Brookfield, WI 53005

Job Duties

•Work with business stakeholders to understand analytical needs and translate them into technical data requirements and designs.

•Work closely with data engineers and data architects to design and build data pipelines for the Enterprise Data Warehouse environment. May lead and mentor team members.

•Apply Enterprise Data Warehouse Design, Data Modelling, and Data Architecture best practices.

•Demonstrate attention to detail, organization, and work to drive projects to completion in accordance with established priorities.

•Leverage the Data Engineering team to move quickly to build solutions while maintaining a high level of quality and agility.

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

Bachelor’s or equivalent degree in Computer Science, Information Systems, or related field, and 7 years of relevant experience as a Data Engineer, Data Architect, or related; OR Master’s or equivalent degree in Computer Science, Information Systems, or related field, and 5 years of relevant experience as a Data Engineer, Data Architect, or related.

Experience must include:

• Enterprise data management

• Cloud infrastructure and data processing on Microsoft Azure

• Designing, building, and optimizing Azure data pipelines

• Azure data components (ADLS, ADF, Databricks, Synapse or DevOps)

• Modern programing language (Python or Spark) in the data transformation context

• SQL, Stored Procedures, Functions, Triggers

• Designing and implementing Data Vault models using metadata driven frameworks

• RDBMS, data modeling, ETL development, and data storage

• Designing and working with distributed and event architectures

• Data governance and metadata management tools

Ability to travel up to 10% domestically and internationally, including bi-monthly travel to Brookfield, WI headquarters. Position can be fully remote.

#LI-DNI

Milwaukee Tool is an equal opportunity employer.

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