Position Type: Experienced - Lead/Manager
Employment Type: Full-Time; Permanent (Direct Hire)
Work Setup & Location: Hybrid (2 days on-site) - Ortigas, Pasig
Work Schedule: Mondays - Fridays; Day Shift
Budget: Php 180,000 - Php 220,000
Industry: Global Restaurant
About the Job:
Our client is looking for a Data Engineering Senior Manager (Lead) who will play a key role in designing, developing, and implementing scalable data infrastructure and solutions. In this role, you will work closely with cross-functional teams to transform business requirements into innovative data-driven solutions. You will also oversee data security, governance, and compliance while mentoring junior engineers, ensuring continuous improvement in processes and technologies.
Qualifications:
- Bachelor's Degree in Computer Science, Information Technology, or a related field.
- At least 5 years of extensive experience in data engineering, with a proven track record of leading complex data projects and teams.
- Advanced proficiency in programming languages such as Python, Java, or Scala, with expertise in software engineering best practices.
- Extensive experience with data warehouse technologies, particularly Snowflake and Databricks, including optimization and strategic roadmap development.
- Expertise in big data technologies like Hadoop, Spark, and Hive, with practical experience managing large-scale data environments.
- Hands-on experience with real-time data streaming and event-driven architectures, using tools like Apache Kafka.
- Strong understanding of data modeling, ETL processes, and data pipeline architecture, with a history of applying best practices.
- Proven problem-solving abilities and the capability to troubleshoot and resolve complex data issues.
Preferred Qualifications:
- Excellent communication and leadership skills, with a history of mentoring engineers and leading cross-functional teams.
- Ability to work independently while also leading collaborative efforts within a team environment.
- Experience driving the adoption of new tools and technologies and successfully integrating them into existing practices.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Knowledge of data security and governance frameworks.
- Familiarity with agile methodologies in data engineering.
