Lead Data Engineer

We are looking for a Lead Data Engineer to build and maintain scalable data pipelines and data platforms that support analytics, business Intelligence, reporting, and AI.

Requirements

• 8-12 years' experience in data engineering and analytics roles
• Bachelor's or Master's degree in analytics, computer science/engineering, economics, mathematics, or related areas.
• Experience building and maintaining ETL/ELT pipelines
• Solid understanding of data warehousing concepts and dimensional data modeling
• Familiarity with workflow orchestration tools such as Airflow or similar
• Experience working with cloud data platforms or modern data infrastructure
• Entrepreneurial hands-on approach to work. Demonstrated leadership ability and willingness to take initiative
• Superior analytical and problem solving skills
• Outstanding written and verbal communication skills
• Effective time management and attention to detail
• Hands on experience in using SQL, Python and Workflow Schedulers (Apache Airflow, Cron)
• Experience in leading team and coordinating with internal / external stakeholders
• Experience in using Cloud Platforms (AWS / GCP / Azure)
• Experience in using Visualization tools (Tableau / Power BI)
• Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.)
• Data Architecture
• Data Strategy
• ETL Design
• Interpersonal Dynamics with Coworkers
• Resource Management
• Results Orientation
• Time Management Skills
• Working under Pressure
• Writing Communication Skills

Benefits

• 401k Matching
• Retirement Plan
• Generous Paid Time Off