
Data Insights Engineer
2 weeks ago
About Us
We are a global airline leader in safety, innovation, reliability and customer experience.
Our mission is to connect people and cultures of the globe, fostering understanding across a diverse world and serving as a force for social good.
The Delta Technology Hub will contribute directly to these objectives, sustaining long-term aspirations of delivering niche, IP-intensive, high-value, and innovative solutions. It supports various teams and functions across our organization and works seamlessly with a global team to create memorable experiences for customers.
- Job Summary:
- We are seeking a Senior Analytics Engineer responsible for delivering high-quality integrated data assets that support analytical models and visualizations, deriving insights that drive personalization opportunities.
- This role requires an analytical mind with engineering chops, thinking at scale considering analyst and data scientist needs.
Key Responsibilities:
- Gather and transform large raw data sets into well-built integrated data assets using SQL, AWS Glue, or other emerging technologies.
- Recommend, build, and monitor robust and extensible data models capturing business performance from a customer experience lens.
- Identify and execute data quality testing along critical checkpoints, surfacing data drift or anomalies.
- Maintain high accuracy of data, building automated processes to catch issues proactively and report.
- Be the expert in critical customer experience data assets, maintaining a catalog for reference.
- Lean into developing visualizations in Tableau, occasionally supporting data science teams with exploratory data analysis and KPI development.
- Validate and performance-tune complex SQL queries.
- Train team members on SQL, AWS, and Tableau best practices.
What You Need to Succeed:
- Bachelor's degree in computer science, data science, or engineering.
- 3 to 6 years of relevant experience in data-driven solutions.
- Expert in writing Advance/Complex SQL queries with strong experience in Python (NumPy & Pandas) and EDA/data processing/data infra tools like AWS Glue, S3, or Redshift.
- Proficient with Tableau or Power Bi for advanced visualization.
- Data Infrastructure (AWS-focused) + Analytics focus.
What Will Give You a Competitive Edge:
- Understanding General AI.
- Working knowledge of statistical/machine learning tools (e.g., scikit-learn).
- Prior experience with similar projects a plus.
- Self-motivated and take pride in building great products for key stakeholders.
- Resourceful in finding data and tools needed to get the job done.
- Not afraid to ask for help when needed or help teammates when they need a boost.
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