Your role will include overseeing, supervising and reviewing tasks performed by team members to ensure effective execution of work; managing end-to-end processes and projects for both internal and external clients with responsibility for timely and accurate delivery; issuing clear instructions and directions to team members on tasks to be performed; and mentoring and guiding junior colleagues to Support their skill development, professional growth, and overall success.
Data Engineer II - Job Responsibilities include:
- 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
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