Cloud Data Engineer - Remote

Hubbell Incorporated

Location: Solon, Ohio, St. Louis, Missouri

Job Type: Not Specified

Posted


Corporate Overview

Hubbell Incorporated was founded in 1888 and has grown into an international manufacturer of quality electrical, lighting and power solutions with more than 75 brands used and recognized around the world. Our founder, Harvey Hubbell, developed tooling and equipment to serve the growing demand for new assembly and manufacturing machinery during the industrial revolution. An early, and one of many patents awarded, came for the creation of the first practical method to control electricity through the pull chain socket that remains unchanged today. As a market leader in reliable, electrical solutions, we provide more than half a million products delivered through our various business groups. Hubbell is committed to continually innovating solutions that work, transforming old products with new ideas, and ensuring that we Energize, Enlighten and Empower the communities that support us.

Division Overview

Hubbell Power Systems (HPS) engages in the design and manufacture of a wide variety of products used by utilities. Today, HPS is deeply engaged in product solutions for OSP Communication utility purposes, and has been actively growing that segment of the business. HPS roots have historically been in high voltage transmission, distribution, substation, underground products used by electric utilities. HPS products are also used in the civil construction, transportation, gas and water industries.

At HPS, we build products that provide mission critical infrastructure and that deliver communications and power to millions of people worldwide. In our business, failure is not an option. Therefore, we manufacture products of uncompromising integrity and it starts with our quality policy. We hold our partners, our suppliers and ourselves to the highest standard to ensure we exceed all the technical and functional expectations of our customers.

Hubbell Incorporated engages in the design, manufacture, and sale of electrical and electronic products in the United States and internationally. It operates in three segments: Electrical, Power, and Industrial Technology.

Location

This position can be remote.

Position Overview

The Data Engineer will analyze, design and implement solutions on Aclara’s analytics platform for internal and external customers. Use artificial intelligence or machine learning to extract insights from the structured and unstructured data sources.

Duties and Responsibilities

  • Collaborate on the strategy of new cloud data storage and the migration of existing data
  • Design and build high-efficiency solutions utilizing the cloud technologies
  • Build data pipelines using Data Factory and Databricks
  • Perform Spark performance tuning for the parallel tasks and reduce the cost
  • Familiar with Azure Devops and CI/CD deployment pipelines for data systems
  • Contributes to the planning and development of the data architecture for 24/7/365 the automated collection, delivery, and preprocessing of large, distributed customer performance data sets and reporting.
  • Migrate on-premises python code to Azure cloud platform
  • Analysis engineer data from large and varied data sets to support filed engineers
  • Communicates findings to team, managers and senior leadership.
  • Provides on-going tracking and monitoring of data collection, delivery and preprocessing performance.
  • Recommends ongoing improvements to methods and algorithms that lead to findings, including new information.

Skills and Experience

Required:

  • Bachelor’s Degree in computer science, Engineering, Mathematics, Statistics or business-related field
  • 3+ years of experience in data engineering with an emphasis on data analytics and reporting
  • 2+ years of experience with at least one of the following cloud platforms: Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP), others
  • 2+ years of experience working in Azure based deployments (Batch/Real-Time) leveraging Azure SQL, Databricks, ADLS, Blob Storage, ADF, Azure Stream Analytics
  • Experience with Python and Spark
  • 3+ years of experience with one or more of the follow scripting languages: Python, SQL, Kafka and/or other

Preferred:

  • 2+ years ETL/ELT experience
  • 3 years of experience in advanced data analytics, math or statistical modeling, or machine learning (i.e, R, Python, SAS, MATLAB).
  • 2+ years of experience manipulating large datasets in cloud environment and applying the appropriate tools (Data Lake, Hadoop, Spark, Data Factory, Structured/Unstructured database).
  • Experience on end-to-end deployment in Azure with CI/CD pipelines.
  • Experience in implementing data solutions in Azure including Azure SQL, Azure Synapse, Cosmos DB, Databricks, ADLS, Blob Storage, ADF, Azure Stream Analytics
  • Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.
  • Master s Degree in Computer Science, Engineering, Mathematics, Statistics or business-related field.

#LI-DB1

Hubbell Incorporated, its subsidiaries and affiliates, is an EO Employer AA: M/F/Veteran/Disability. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identity or any other protected class.

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