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Lead Data Engineer Jobs

Company

Eaton Corporation

Address , Lathrup Village, Mi
Employment type
Salary $101,250 - $148,500 a year
Expires 2023-07-27
Posted at 10 months ago
Job Description

Eaton’s Corporate Sector division is currently seeking a Lead Data Engineer.

The expected annual salary range for this role is $101250.0 - $148500.0 a year.

Please note the salary information shown above is a general guideline only. Salaries are based upon candidate skills, experience, and qualifications, as well as market and business considerations.

What you’ll do:

At Eaton we are modernizing the way we use data to accelerate our digital transformation. Join our Information Technology team and help positively impact our business through leading technologies, exciting and challenging enterprise projects, and new platforms. We are transforming to a product centric organization utilizing agile practices to help us work more incrementally and fluidly, allowing us to respond more quickly to changing business needs.
In this role, you will be instrumental in implementing the enterprise data strategy for the data mesh architecture as part of the Chief Data Management office. You will be the subject matter expert on integration platforms that support movement of data across the enterprise, commercial and IoT sources and drive automation of both platform and integration governance. You will lead research into exploring and enabling the right toolset for the Hybrid integration platform and enabling democratized agile integration across the organization. You will also enable the team to rapidly experiment and iterate on strategies, helping drive critical decisions on how we shape the product and services provided by integration services.
Making what matters work at Eaton takes the passion of every employee around the world. We create an environment where creativity, invention and discovery become reality, each and every day. It’s where bold, bright professionals like you can reach your full potential—and where you can help us reach ours."
  • Establish end to end continuous integration and deployment and guide the team on best practices
  • Create templates to improve productivity, define standards to enforce consistency and governance. Implement dataops.
  • Ensure availability and stability of integration platforms and provide operational support for releases and maintenance. Adhere to operational SLAs and KPIs.
  • Design, implement and maintain platform solutions that are reliable and scalable and focused on driving automation and improving productivity
  • Drive development and adoption of self-service capabilities and champion as an enabler for adopters of the platform. Assist with operationalizing citizen developer personas
  • Define and implement data integration patterns and solutions using standard modeling practices
  • Create robust and automated data pipelines using traditional and modern data integration technologies, including ETL/ELT, data replication/CDC, streaming, message-oriented data movement and API-based data acquisition leveraging cloud native tool-set.
  • Simplify the tooling landscape to sunset legacy applications while minimizing business disruption.
  • Implement orchestration of data pipelines to support migration of on-premise data platforms to cloud

Qualifications:

Basic Qualifications:

  • No relocation is offered for this position. All candidates must currently reside within 50 miles of an Eaton Facility to be considered.
  • This position requires use of information or access to hardware which is subject to the International Traffic in Arms Regulations (ITAR). All applicants must be U.S. persons within the meaning of ITAR. ITAR defines a U.S. person as a U.S. Citizen, U.S. Permanent Resident (i.e. 'Green Card Holder'), Political Asylee, or Refugee.
  • Bachelor's degree in STEM from accredited university
  • 6+ years of data engineering experience focusing on modern data management practices and contemporary toolsets
  • Must be authorized to work in the United States without company sponsorship now or in the future


Preferred Qualifications:

  • Experience in creating data pipelines using traditional and modern data integration technologies, including ETL/ELT, data replication/CDC, streaming, message-oriented data movement and API-based data acquisition leveraging cloud native tool-set.

Skills:

  • Demonstrated experience in implementing data pipelines using dbt Cloud/CLI, Airflow or similar workflow orchestration tools
  • Ability to adapt to the situation and pivot based on changing priorities
  • Experience applying knowledge of the new processes and concepts in day to day work deliveries
  • Strong understanding of cloud-based data solutions such as Azure BLOB or ADLS and Synapse, AWS S3, EMR and Redshift, Databricks, Snowflake, etc. "
  • Ability to lead as the subject matter expertise in the space through diagnosing, isolating, and resolving complex issues and recommending and implementing strategies to resolve problems
  • Collaborate with the team and be open minded to ideas
  • Demonstrated experience with data replication/CDC tools such as HVR/FiveTran, Qlik Replicate, Golden Gate etc
  • Ability to identify operational issues and proactively solutions to resolve problems.
  • Strong experience working with integrating large heterogeneous datasets using modern cloud integration technologies such as Azure
  • Experience in independently driving high-level technical delivery.
  • Experience with cloud integration tools such as Azure Data Factory, Informatica Data Management Cloud, Amazon Glue
  • Ability to drive application modernization and enablement
  • Experience acheiving platform KPIs and defining measurement targets
  • Experience establishing & maintaining relationships with individuals at senior levels
  • Curious and solution oriented, ability to handle problems, work outside the comfort zone
  • Moderate experience working with open-source or commercial message queuing technologies, such as Azure Service Bus, Apache Nifi, Apache Kafka, etc.
  • Experience influencing leadership and key stakeholders on technology solutions.
  • Strong proficiency with SQL, and using Python for data transformation.

We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.

Eaton considers qualified applicants regardless of criminal histories, consistent with local laws. To request a disability-related reasonable accommodation to assist you in your job search, application or interview process, please call us at 1-800-836-6345 to discuss your specific need. Only accommodation requests will be accepted by this phone number.

We know that good benefit programs are important to employees and their families. Eaton provides various Health and Welfare benefits as well as Retirement benefits, and several programs that provide for paid and unpaid time away from work. Click here for more detail: Eaton Benefits Overview. Please note that specific programs and options available to an employee may depend on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.