Data Engineer II

• Generate and prepare reports to track KPI metrics along with data analysis and insights for Engineering Program execution and monthly revenue reporting
• Interpret data, analyze results using statistical techniques and provide ongoing reports.
• Design, build and maintain scalable data pipelines using DataBricks
• Implement data models to support analytics, BI and downstream consumption
• Automate data workflows using Databricks Job and Workflows
• Represent data using PowerBI and advanced visualization tools.
• Prepare ad hoc reports pulling data from multiple data sources and applications
• Identify and automate operational tasks through process/technical automation
• Data analysis, gap identification and drive efficiency on day-to-day reporting
• Prepare Monthly operations reporting along with Portfolio analysis coordinating with engineering, Product Operations and Project Management Leaders.
• Supporting the GBE to drive efficiency in business operations and to achieve their Annual operating plan targets.
• Coordinate the Monthly Operations Report for the GBE and provide reporting of financial, cost, quality, and schedule metrics.
• Enable leaders to make informed decisions using metrics and reports to improve the program performance and customer satisfaction.
• Assist with Impact assessments with respect to changes in program scope, schedule, and priority.
• Coordinates affordability analysis used for census and program planning. 
• Effective communication and Business Presentation skills. 
• Ability to build data models using statistical methods

Qualifications

YOU MUST HAVE

• Bachelor’s degree from an accredited institution in a technical discipline such as science, technology, engineering, mathematics
• 2+ years of experience in data engineering or a related role
• Proficiency in data warehousing tools and technologies (ETL, SQL, data integration)
• Understanding of database management systems and data warehouse architectures

WE VALUE

• Advanced degree in Computer Science, Data Management, or related field
• Strong analytical and problem-solving skills
• Experience with big data technologies and platforms, such as Hadoop, Spark, and Kafka
• Proficiency in programming languages like Python, Java, or Scala
  • Knowledge of data governance, security, and compliance