Lead Data Engineer (Java, Python, BigQuery)

We are looking for the right individual to embrace the opportunity to tackle challenging problems and use their influence to drive continual improvement. You will use various methods to transform raw data into useful data systems. For example, you'll create algorithms and conduct statistical analysis. Overall, you'll strive for efficiency by aligning data systems with business goals.

To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages and knowledge of machine learning methods. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.

Role Overview and Core Responsibilities:

• Analyze and organize raw data
• Build data systems and pipelines
• Evaluate business needs and objectives
• Interpret trends and patterns
• Conduct complex data analysis and report on results
• Prepare data for prescriptive and predictive modeling
• Build algorithms and prototypes
• Combine raw information from different sources
• Explore ways to enhance data quality and reliability
• Identify opportunities for data acquisition
• Develop analytical tools and programs
• Collaborate with data scientists and architects on several projects

Required Knowledge and Experiences:

• Previous experience as a data engineer or in a similar role
• GCP experience is a must for this role
• Experience with BigQuery, GCS, Dataflow, and other tools and techniques used for building pipelines is a must
• Good hands-on experience in programming languages (e.g. Java and Python)
• Technical expertise with data models, data mining, and segmentation techniques
• Hands-on experience with SQL and NoSQL database design
• Great numerical and analytical skills
• GCP Data Engineering certification is a plus