Your Impact
· Be responsible for the design, construction and maintenance of scalable data pipelines and data storage architecture to support the generation of business metrics.
· Collaborate with cross-functional teams to understand metric requirements, identify new data sources and deliver actionable insights.
· Ensure data architecture performance, data security and compliance with relevant regulations.
· Be responsible for dashboards, SLA reports, and visualizations to communicate metrics to executives and customers.
· Mentor and guide data engineers and team members, leading technical discussions and contributing to strategic planning within the data analytics team.
· Stay up-to-date with industry trends and emerging technologies in data analytics and data engineering.
Minimum Qualifications:
- Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.
- 8+ years of experience in data analysis, data pipeline engineering, or a related role.
- Strong programming skills in languages such as Python, R, or Java
- Proficiency in SQL and experience with relational databases (e.g., Oracle, MySQL, PostgreSQL).
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Experience with agile software development and version control systems (e.g., Git).
Preferred Qualifications:
- Familiarity with big data technologies (e.g., Snowflake, Hadoop, Spark) is a plus.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills and the ability to work collaboratively in a team environment.