Batch Monitoring Lead

2 weeks ago

Quezon City, National Capital Region, Philippines Manulife Full time ₱1,200,000 - ₱2,400,000 per year

This role offers an exciting opportunity to lead a team of data engineers at Manulife, a leading international financial services provider committed to making life better and decisions easier. As a team leader, you'll play a vital role in shaping data strategies and implementing scalable data solutions that support analytics and reporting needs, directly contributing to our mission of enhancing decision-making and improving lives. By joining us, you'll gain the chance to work with cutting-edge technologies, drive continuous improvement, and collaborate with diverse teams, all while fostering an inclusive and innovative work environment.

Position Responsibilities:

  • Lead and mentor a team of data engineers, providing technical guidance and fostering professional growth.
  • Design, build, and maintain scalable data pipelines and ETL processes to support data warehousing and analytics.
  • Collaborate with project managers, stakeholders, and IT teams to align data strategies, ensuring reliable and efficient data infrastructure.
  • Ensure data quality and integrity through rigorous testing and validation, optimizing processes for performance and cost-effectiveness.
  • Stay updated on emerging data technologies and drive continuous improvement initiatives to enhance data engineering capabilities.
  • Ability to work on rotating shifts and adapt to a full onsite work arrangement based on business needs.
  • As part of a 24/7/365 operation, this is an Office based shift role.
  • Shift patterns are based on 8-hour shifts: (Morning 6am-3pm, Evening 2pm-11pm, Night 10pm-7am).

Required Qualifications:

  • 3-5 years of experience in data engineering or a related field
  • Proven experience in a lead or mentoring role; strong experience with ETL tools and data pipeline frameworks (e.g., Apache Airflow, Apache Spark)
  • Bachelor's degree in Computer Science, Information Technology, or a related field (Master's degree is a plus)
  • Proficiency in programming languages such as Python, Java, or Scala; hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data warehousing solutions (e.g., Snowflake, Redshift, BigQuery)
  • Solid understanding of SQL and database management systems

Preferred Qualifications:

  • Experience with data modeling, data APIs, and data integration
  • Strong problem-solving skills and attention to detail
  • Excellent communication and interpersonal skills
  • Familiarity with industry best practices and emerging data technologies
  • Experience in driving continuous improvement initiatives in data engineering

When you join our team:

  • We'll empower you to learn and grow the career you want.
  • We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
  • As part of our global team, we'll support you in shaping the future you want to see.

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