TalentBoost

Senior Data Engineer

Avangrid - Augusta, ME

    Avangrid is seeking a Senior Senior Data Engineer to join their team in their Augusta, ME location.

    The purpose of this role is to work closely with the business and other IT team member to develop analytics solutions that help them understand, model and govern the company’s data and to ensure best practice is applied in the transit and transformation of data through its journey from creation to actionable information.

    This role will also assist the business in the development and management of Enterprise Information Models and best practice Data Modeling and Data Architecture to support Business Intelligence and Data Mining initiatives across AVANGRID.

    This role will be able to identify, manage and design requirements for data extractions, data transformations and data loading, to and from various technical platforms; including SAS, Oracle Exadata and Hadoop and other NoSQL ecosystems to ensure business value is delivered in the most efficient way.

    MAJOR ROLES AND RESPONSIBILITIES (Scope of work – range of responsibilities):

    • Analyze the existing data repositories and business processes to derive data profiles and identify data sources.
    • Identify, design and maintain data models as required.
    • Maintain production and development big data platforms along with the analytics applications.
    • Assist with the definition of use cases and business use of Big Data Platforms such as Hadoop and other NoSQL platforms describing the advantages and disadvantages of options available
    • Assist in the design of data acquisition, cleansing, and transformation into target data structures from potentially multiple sources such as SQL and non-SQL databases, SAP, structured and non-structured files, Hadoop.
    • Design and develop programs that will run in Big Data infrastructures: On-premise cluster (Hortonworks), Cloud (MS Azure HDInsight):
    • Automate the big data jobs that runs both on batch node and in real-time.
    • Massive data processing (smart meter, transformer and other utility assets data)
    • Operationalize analytic models to run efficiently (analytics on Hadoop)
    • Data Provisioning (including ETL/ET) 
    • Present to business, non-technical audience being able to create, prototypes, and demonstrations to help management better understand the work.
    • Help maintain documentation of data models and/or other reusable knowledge assets regarding data governance.
    • Support in when and how to leverage new Big Data technologies such as, NoSQL, Hadoop and foster its usage within the AVANGRID organization with clear business outcomes.

    Skills:

    • Analyze the existing data repositories and business processes to derive data profiles and identify data sources.
    • Identify, design and maintain data models as required.
    • Maintain production and development big data platforms along with the analytics applications.
    • Assist with the definition of use cases and business use of Big Data Platforms such as Hadoop and other NoSQL platforms describing the advantages and disadvantages of options available
    • Assist in the design of data acquisition, cleansing, and transformation into target data structures from potentially multiple sources such as SQL and non-SQL databases, SAP, structured and non-structured files, Hadoop.
    • Design and develop programs that will run in Big Data infrastructures: On-premise cluster (Hortonworks), Cloud (MS Azure HDInsight):
    • Automate the big data jobs that runs both on batch node and in real-time.
    • Massive data processing (smart meter, transformer and other utility assets data)
    • Operationalize analytic models to run efficiently (analytics on Hadoop)
    • Data Provisioning (including ETL/ET) 
    • Present to business, non-technical audience being able to create, prototypes, and demonstrations to help management better understand the work.
    • Help maintain documentation of data models and/or other reusable knowledge assets regarding data governance.
    • Support in when and how to leverage new Big Data technologies such as, NoSQL, Hadoop and foster its usage within the AVANGRID organization with clear business outcomes.

    Education & Experienced Required:

    BA/BS data analytics/computer science/information or similar degree is required. New grads and/or grads with 4 to 5 years of job related experience

    Skills/Abilities:

    • Good oral and written communication skills.
    • Strong problem solving and analytical skills.
    • Ability to multi task.
    • Strong Interpersonal and Communication Skills.
    • Negotiation.
    • Analytical.
    • Willingness to travel.
    • Must be a proven team player to work, promote and consolidate efficient team working relationships. 

    About the Company

    AVANGRID, Inc. (NYSE: AGR) aspires to be the leading sustainable energy company in the United States. Headquartered in Orange, CT with approximately $39 billion in assets and operations in 24 U.S. states, AVANGRID has two primary lines of business: Avangrid Networks and Avangrid Renewables. Avangrid Networks owns eight electric and natural gas utilities, serving more than 3.3 million customers in New York and New England. Avangrid Renewables owns and operates a portfolio of renewable energy generation facilities across the United States. AVANGRID employs approximately 7,000 people and has been recognized by Forbes and Just Capital as one of the 2021 JUST 100 companies - a list of America's best corporate citizens - and was ranked number one within the utility sector for its commitment to the environment and the communities it serves. The company supports the U.N.’s Sustainable Development Goals and was named among the World’s Most Ethical Companies in 2021 for the third consecutive year by the Ethisphere Institute. For more information, visit www.avangrid.com

    This job has been posted by TalentBoost on behalf of Avangrid. TalentBoost is committed to the fundamental principle of equal opportunity and equal treatment for every prospective and current employee. It is the policy of TalentBoost not to discriminate based on race, color, national or ethnic origin, ancestry, age, religion, creed, disability, sex and gender, sexual orientation, gender identity and/or expression, military or veteran status, or any other characteristic protected under applicable federal, state or local law.



    Posted On: Monday, November 15, 2021



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