Senior Manager Data Engineering

• Roles & Responsibilities:

  Possesses strong rapid prototyping skills and can quickly translate concepts into working code.
• Provide expert guidance and mentorship to the data engineering team, fostering a culture of innovation and standard methodologies.
• Design, develop, and implement robust data architectures and platforms to support business objectives.
• Oversee the development and optimization of data pipelines, and data integration solutions.
• Establish and maintain data governance policies and standards to ensure data quality, security, and compliance.
• Architect and manage cloud-based data solutions, leveraging AWS or other preferred platforms.
• Lead and motivate a strong data engineering team to deliver exceptional results.
• Identify, analyze, and resolve complex data-related challenges.
• Collaborate closely with business collaborators to understand data requirements and translate them into technical solutions.
• Stay abreast of emerging data technologies and explore opportunities for innovation.
• Lead and manage a team of data engineers, ensuring appropriate workload distribution, goal alignment, and performance management.
• Work closely with business analysts and product collaborators to prioritize and align engineering output with business objectives.

What we expect of you

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.