Senior Manager Data Engineering

What we expect of you We are all different, yet we all use our unique contributions to serve patients.

Basic Qualifications :

• Master s degree and 8 to 10 years of computer science and engineering preferred, other Engineering field is considered OR
• Bachelor s degree and 10 to 14 years of computer science and engineering preferred, other Engineering field is considered OR
• Diploma and 14 to 18 years of computer science and engineering preferred, other Engineering field is considered
• Demonstrated proficiency in using cloud platforms (AWS, Azure, GCP) for data engineering solutions. Strong understanding of cloud architecture principles and cost optimization strategies.
• Proficient on experience in Python, PySpark, SQL. Handon experience with bid data ETL performance tuning.
• Proven ability to lead and develop strong data engineering teams.
• Strong problem-solving, analytical, and critical thinking skills to address complex data challenges.
• Strong communication skills for collaborating with business and technical teams alike.

Preferred Qualifications :

• Experienced with data modeling and performance tuning for both OLAP and OLTP databases
• Experienced with Apache Spark, Apache Airflow
• Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc. ), CI / CD (Jenkins, Maven etc. ), automated unit testing, and Dev Ops
• Experienced with AWS, GCP or Azure cloud services
• Professional Certification : AWS Certified Data Engineer preferred
• Databricks Certificate preferred
• Soft Skills : Excellent analytical and troubleshooting skills.
• Strong verbal and written communication skills
• Ability to work effectively with global, virtual teams
• High degree of initiative and self-motivation.
• Ability to manage multiple priorities successfully.
• Team-oriented, with a focus on achieving team goals
• Strong presentation and public speaking skills.

Skills Required

Aws, Gcp, Azure, Git, Subversion, Jenkins, Maven