Data Engineer | Data Platform & Delivery
What Your Day Would Be Like
:
•Partner with Business SMEs, IT Developers to understand business requirements, translate them in technical requirements, develop data model, design pipelines.
•Develop conceptual, logical, and physical data models to meet organizational needs.
•Work closely with business analysts, data engineers, and other stakeholders to gather requirements and translate them into technical specifications.
•Fine-tune and optimize data models for query performance, storage costs, and computational efficiency.
•Develop and maintain data models to support data warehousing and business intelligence initiatives
•Assist with data migration, integration, and transformation activities.
•Document and communicate data models, their specifications, and best practices to relevant teams.
•Keep abreast of industry trends and emerging technologies within data management
The Kinds of People We Want to Talk To Have Done Many of the Followi
ng:
•Strong understanding of data modeling principles, data warehousing, and business intelligence concepts.
•Strong working experience working with cloud technologies and cloud data integration technologies.
•Excellent SQL skills and experience with relational databases.
•Experience with Azure services and Oracle cloud Services, including Azure SQL Database, Azure Synapse Analytics, Azure Data Lake, Oracle Cloud Analytics Tech stack, Oracle SQL/ SQLPlus.
•Familiarity with ETL processes, data integration tools, and data transformation techniques.
•Strong communication and collaboration skills to effectively work with stakeholders and teams
•Ability to troubleshoot data issues, identify discrepancies, and resolve problems.
•Functional knowledge of Maximo, Financial Applications, Customer Care and Billing, Meter data is plus
•Familiar with data modeling tools like ERStudio or ER
WIN
Data Engineer | Data Platform & Deli
very
•Bachelors' degree in a relevant business or science, information technology or analytics, applied math, statistics, physics or related field
•PLUS ten (10) years data management or data/IT architecture design role including / emphasizing direct business solutions design and develo
pm
ent
•OR Masters degree and eight (8) related experience.
•In lieu of degree, equivalent combination of education and directly related experi
ence equaling 14
years is required.
•Proficient in data/IT architecture leading practices, data modeling, data integration, CRUD modeling, SQL, workflows and related tools.
•Proficient in one or more data modeling, and analytical tools. Proficient in solutions programming and/or development.
•Programming skill in Python, C/C++, Java,or R.
•Familiarity with RapidMiner, SAS, SPSS, RStudio, Anaconda, MatLab, Azure, Databricks, ELK, or other data mining platforms.
•Working understanding of Data Lakes, Cloud architectures, transactional data systems and flows, and streaming data sources such as PI.
•Knowledge of statistical analysis, machine learning, data mining, NLP, predictive analytics, text mining and modeling general concepts. Proficient in relational and non-relational data systems implementation.
•Experience with scripting, APIs and data source development.
•Experience with data transformations for analytic use including information flow, query execution and optimization, comparative analysis of data stores, logical operations, database and data channel setup / management, data infrastructure design and b
uild.
Preferred Special Skills, Knowledge or Qualific
ations
•Knowledge of applicable federal and state laws, regulations, and standards impacting business unit areas.
•Excellent customer service, organizational, and analytical skills.
•Demonstrated communication skills, both verbal and written. Must be able to work on multiple tasks simultaneously.