This job participates in complex problem resolution and leads projects of diverse scope requiring an understanding of current business trends. They determine methods and procedures for new or special assignments and drive global process improvements through data-driven insights.
Essential Responsibilities:
- Lead complex data engineering projects, ensuring they meet business objectives and deliver actionable insights.
- Develop advanced data architectures and pipelines to analyze large datasets and solve complex business problems.
- Collaborate with senior leadership to identify data-driven opportunities for business growth and efficiency.
- Implement best practices for data management, analysis, and visualization.
- Ensure data governance and compliance with relevant regulations and standards.
- Provide mentorship and technical guidance to the data engineering team.
Expected Qualifications:
- Minimum of 12 years of relevant work experience and a Bachelor's degree or equivalent experience.
- Previous management experience
Preferred Qualification:
- Bachelor/Master’s degree in Compter Science/Engineering or equivalent
- 10+ years experience in bigdata technology with hands on experience on Hadoop/Spark/Airflow /Hive/HBase related and good understanding on ETL, scheduling and data modeling
- Rich experience with data warehousing architecture, data modeling best practices, data quality mechanism and data governance process
- Excellent communication skills, proficient in written and oral English
- Strong leadership with 5+ years of data engineering team management experience
Our Benefits:
Any general requests for consideration of your skills, please