Cloud Data Engineer

What you’ll do:

Job Summary:
 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 integration strategy for the data mesh architecture  as part of the Chief Data Management office. You will be the subject matter expert on the integration platforms and 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."    
 

Job Responsibilities:
- 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.
- Monitor and optimize data integration processes for performance and scalability and implement data security measures for the data ingestion pipelines
- Drive development and adoption of self-service capabilities and champion as an enabler for adopters of the platform
- Troubleshoot and resolve data integration issues and provide operational support for releases and maintenance. Adhere to operational SLAs and KPIs.
- Establish end to end continuous integration and deployment and guide the team on best practices
- Simplify the tooling landscape to sunset legacy applications while minimizing business disruption."    
 

Qualifications:

Basic Qualifications(required):

•   Bachelor's degree in STEM (Science, Technology, Engineering, Mathematics) from accredited university. 
•   6+ years of experience in data integration, data lifecycle management and programming.
•   3+ years of experience with one of the Cloud platforms ( Azure, GCP or AWS )
•   Must be legally authorized to work in the United States without company sponsorship both now and in the future.
•   No relocation benefit is being offered for this role.  All candidates considered must live within 50 miles of  job posting location.  Active-Duty Military Service member candidates are exempt from the geographical area limitation.  

* This role must report on-site 3 days a week at one of the following locations: Beachwood, OH; Charlotte, NC ; Moon Township, PA ; Houston, TX . 
 

Preferred Qualifications(required):

•  Demonstrated experience working with large datasets building ETL/ELT pipelines using technologies such as Azure Data Factory, Informatica Cloud, dbt etc.
•  Experience with distributed systems, streaming platforms such as Confluent Kafka, Azure Event .
•  Proficiency with SQL,and using Python or Java for data processing pipelines.
•  Strong experience with Terraform, GitHub and GitHub Actionsc.
•  Experience with data replication/CDC tools such as Qlik Replicate, Fivetran or Golden Gate is a plus.
•  Strong understanding of cloud-based data solutions such as Azure Data Lake Storage, Snowflake, Redshift, Databricks 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.
•  Curious and solution oriented, ability to handle problems from all sides, work outside the comfort zone , collaborative, open minded and effective communicator.
•  Ability to identify operational issues and proactively solutions to resolve problems, operate in a KPI driven framework.