Job Location: United States
Job Summary :
Data Engineer with experience in scripting tools for automation, data warehouse design, and cloud computing, including the associated solution design, planning, maintenance, and support.
Essential DutiesResponsibilities :
– Provide technical expertise while defining requirements, solution designing, and process automation for EDA projects.
– Advance the creation of a centralized data lake that integrates client systems.
– Contribute to the creation of a customer-centric business via the development, documentation and deployment of a core model in the data lake and recommend solutions and the use of industry standards when appropriate.
– Identify potential logic and data gaps within our current billing and reporting systems.
– Build transformed data marts and datasets to be used by reporting and data science teams.
– Refine and maintain clear and concise system processes.
– Ensure the integrity of data lake structures and employ appropriate data governance best practices and tools for both the data lake and core model.
– Establish, maintain, use and continually expand and enhance knowledge of data warehousing and data marts, BI and enterprise applications, data, and programming.
– Demonstrate cross-functional collaboration skills and work with people at various levels across the organization.
Minimum Requirements :
– Bachelor’s or master’s degree from an accredited four-year college in computer science, software engineering, information technology, or another quantitative field.
– A minimum of 5 years of database and custom data warehouse design, testing, development, and architecture experience or equivalent experience working on large-scale systems or in business process design and engineering.
– Proficiency in developing, deploying, troubleshooting, and debugging cloud-based applications or complex, production software.
– Demonstrated understanding of Apache projects such as Spark, Hadoop, and Airflow.
– Strong development background and coding skills.
– Advanced knowledge of scripting tools for automation such as R, Python, etc. and familiarity with Git, Jenkins, JIRA, or similar tools.
– Comfortable in Linux.
– Understanding of overall system architecture, scalability, reliability, and performance in a database environment.
– Experience designing and leading database performance benchmarks.
– Highly innovative, flexible and self-directed.
– Experience in communicating with users, other technical teams, and management to collect requirements and describe software product features and technical designs.
Preferred Qualifications :
– Experience in AWS services (EC2, S3, Athena, EMR, Glue) and understanding of core AWS services, uses, and basic AWS architecture best practices (including security and scalability).
– Significant experience in the de-regulated energy industry or the power generation industry.
– Knowledgeable of terminology, concepts, and value chain.
Additional Knowledge, Skills and Abilities :
– 5+ years of advanced knowledge and professional quantitative experience.
– Advanced SQL coding, tuning and query optimization experience.
– Advanced knowledge of reportingdata visualization tools such as Tableau, SSRS, Microsoft Power BI, Looker, etc.
– Experience with large-scale data analytics or data science.
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