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Senior Analytics Software Engineer

Company: National Grid
Location: Hicksville
Posted on: February 23, 2021

Job Description:

About us: Every day we deliver safe and secure energy to homes, communities, and businesses. We are there when people need us the most. We connect people to the energy they need for the lives they live. The pace of change in society and our industry is accelerating and our expertise and track record puts us in an unparalleled position to shape the sustainable future of our industry.To be successful we must anticipate the needs of our customers, reducing the cost of energy delivery today and pioneering the flexible energy systems of tomorrow. This requires us to deliver on our promises and always look for new opportunities to grow, both ourselves and our business.National Grid is Hiring a Senior Analytics Software Engineer in our Hicksville, NY location. Job Purpose: The Analytics Software Engineer is responsible for collaborating with the different stakeholders within the Advanced Data & Analytics (ADA) team to design, develop, and test production level software to meet the advanced analytical business need. He/she will need to able to build application programming interfaces, integrate software with databases, program in an object-oriented manner, and package software for reusability by other software components. Development is expected to be cloud ready, taking full advantage of cloud services and tools that are necessary in the functional realm of advanced big data and analytics.The incumbent is expected to have breadth and depth knowledge of Programming / Software Development, Data Architecture, and Data Engineering. Incumbents should be prepared to work in a highly multi-tasked environment with rapidly changing business priorities. Ability to work cross functionally and in an Agile Team setting are a must. Key Accountabilities:

  • Design, develop, and test software in the advanced analytical and big data discipline.
  • Collaborate with the Quantitative Analysts, Data Scientists, Data Engineers and IS Operations team to enable the packaging, optimization and documentation of software to deploy it in production environment
  • Be able to troubleshoot/debug major issues as needed.
  • Work with the ADA team members and be able to anticipate future developmental requirements.
  • Be able to understand the business requirements that are requested in a project and translate them into technical specs and deliver actionable and scalable software solutions
  • Be able to facilitate discussions based on varying levels of technical expertise of the audience.
  • Develop set of guiding principles and best practices to enable Analytical model developers who uses advanced analytics techniques (Classical Statistics, AI, Machine Learning algorithms) in developing production ready code.
  • Set the standard for managing source code in adopting version control best practices.
  • Being able to adapt to the changing priorities in the business and demonstrate flexibility in working on developing and supporting different software components. Qualifications:
    • Minimum bachelor's degree in engineering, mathematics, applied computer science, applied management science or operations research.
    • Master's degree in a computer science discipline is strongly preferred, with a background in computer programming and/or a minimum of 3-5 years' experience in advanced data processing and software development is desired.
    • Minimum of 2 years of Spark, Java and Python development experience, SQL, NoSQL, and data warehousing concepts, RDBMS and designing and developing cloud-based object-oriented software solutions
    • Skilled knowledge in Programming / Software Development lifecycle.
    • Knowledge of Data Architecture, and Data Engineering functions
    • Knowledge of networks and firewalls
    • Understanding as to how advanced analytical models (Artificial Intelligence, Machine Learning, etc), tools and analyses work.
    • Ability to write code in one or more scripting languages: spark, R, Python, Ruby, Java, C++
    • Ability to work in a highly multi-tasked environment with rapidly changing business priorities.
    • Ability to work cross functionally and in an Agile Team setting are a must.
    • Has in-depth experience working with SQL Databases (Oracle, SQLServer, PostgreSQL)
    • Capable of working with:Non-SQL Databases (Hadoop, MongoDB, Cassandra) and Geospatial DatabasesImage DatabasesSnowflake Data WarehouseETL - Pentaho, Kettle, SSISAWS (Amazon Web Service) - Infrastructure Deployment & Multi-thread Programming,Cloud administration, IAM, VPC, EC2, RDS, EMR, S3, EBS, ELBDistributed Process Management - Elastic MapReduce (EMR), SPARK More Information: This position has a career path which provides for advancement opportunities within and across bands as you develop and evolve in the position; gaining experience, expertise and acquiring and applying technical skills. Internal candidates will be assessed and provided offers against the minimum qualifications of this role and their individual experience. National Grid is an equal opportunity employer that values a broad diversity of talent, knowledge, experience and expertise. We foster a culture of inclusion that drives employee engagement to deliver superior performance to the communities we serve. National Grid is proud to be an affirmative action employer. We encourage minorities, women, individuals with disabilities and protected veterans to join the National Grid team. - provided by Dice

Keywords: National Grid, Hicksville , Senior Analytics Software Engineer, IT / Software / Systems , Hicksville, New York

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