Senior Data Engineer at CenterPoint Energy - Indiana, United States - Portland Trail Blazers

Description

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CenterPoint Energy

is looking for a

Senior Data Engineer

to join our

Enterprise Data Analytics

Team , located in

Houston, TX or Evansville, IN .
You will have the ability to:

be responsible for developing and maintaining data pipelines that support analytical analysis.

You will partner with various business clients, data scientists, and data analysts to ensure that the company has access to the data it needs to make informed decisions.

We want you to know.
CenterPoint Energy and its predecessor companies have been in business for more than 150 years. Our vision to lead the nation in delivering energy, service and value drives our strategy and performance. We have an unwavering commitment to deliver electricity and natural gas safely and reliably to millions of people.

Diversity and Inclusion

CenterPoint Energy is committed to creating an inclusive work environment where business results are achieved through the skills, abilities, and talents of our diverse workforce.

At CenterPoint Energy, individuals are respected for their contributions toward our company objectives.

We strive for an inclusive work environment across all levels that is reflective of the available workforce in the communities we serve.

What we bring to you
Competitive pay
Paid training.
Benefits eligibility begins on your first day.
Flexible work schedule, paid holidays, and paid time off
Access to discounts at fitness clubs and an on-site wellness center at our headquarters in Houston
Professional growth and development programs including tuition reimbursement.

401(k) Savings Plan featuring a company match dollar-for-dollar up to 6% and a company contribution of 3% regardless of your contribution with immediate 100% vesting.

To be successful in this role you will:
Develop, construct, test and maintain data acquisition pipelines for large volumes of structed and unstructured data. This includes batch and real-time processing.
Build large and complex datasets based on business requirements.
Identifies opportunities for data acquisition via collaborating with stakeholders and business clients.

Leverages a variety of tools such as Python, SAP Data Services, Dataflow, DataStream, Google Cloud Functions, Spark, Google Cloud Run, SAP SLT, Google Pub Sub, etc.

to integrate systems and data pipelines.
Recommends ways to improve data quality, reliability, and efficiency.
Develop JSON messaging structure for integrating with various applications.
Drive a data engineering strategy focused on delivering data in near real-time using server less technologies.
Develop data architecture to optimize performance for dashboards and digital applications.
Lead the integration track of various strategic projects.
Leverage DevOps and CI/CD practices to ensure the reliability and scalability of data pipelines.

Assist in the development and maintenance of data models, data dictionaries, and data documentation to ensure data integrity and consistency.

Participate in cross-functional teams to support data-related projects, providing expertise and guidance on data analysis, data management, and data visualization.

Stay updated with the latest industry trends and advancements in data analytics, data science, and data engineering, and apply this knowledge to enhance data capabilities within the organization.

Constant, initiative-taking pursuit of learning systems, organizational structure, processes, data sets, techniques, etc.
Interpret and explain information to audiences who are not familiar with the subject matter, often requiring persuasion.
Provide guidance and training to others in the use of modern technologies, theories, concepts, and techniques.
Operate with limited supervision, guidance, and direction from leadership and senior staff.

Your background includes:

Requires a bachelor's degree from an accredited college or university in Data Science, Analytics, Mathematics, Statistics, Computer Science, or related field.

Requires a minimum of five (5) years of related experience in data engineering, data analysis, ETL or similar role delivering data pipelines.

Experience with Google Big Query.
Strong proficiency in SQL with direct working experience leveraging this skill.
Experience with data exploration tools like KNIME/Alteryx
Understanding of data modeling concepts and experience with data modeling tools.
Proficiency in ETL processes, data warehousing, and database management systems.
Excellent problem-solving and analytical skills, with diligence
Experience interacting with employees of all levels to present technical data in a non-technical manner.
Effective communication skills, with the ability to translate complex data concepts into understandable insights for non-technical stakeholders.

A bonus to have:
Utility experience
Experience with data governance
Experience working in an Agile team environment.

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