Data Engineering Team Lead
3 days ago
Evolution Recruitment Solutions PTE. LTD. is seeking a highly skilled and experienced Data Engineering Manager to lead and oversee the development, implementation, and optimization of data engineering solutions in the financial services industry.
Key Responsibilities
Lead, mentor, and manage a team of data engineers to design, build, and maintain scalable and robust data pipelines. Foster a culture of innovation, collaboration, and continuous learning within the team. Design and implement end-to-end data architectures, including data acquisition, transformation, storage, and distribution. Collaborate with data architects to ensure alignment with enterprise-wide data strategies and compliance requirements. Optimize existing data systems and build new data models that support financial analytics, reporting, and machine learning initiatives. Partner with cross-functional teams, including business analysts, data scientists, and IT teams, to deliver data solutions aligned with business goals. Work closely with compliance and risk management teams to ensure adherence to industry regulations (e.g., GDPR, CCPA, or PCI-DSS). Stay updated on the latest trends and technologies in data engineering and apply them to enhance the organization's capabilities. Establish and promote best practices for data engineering, including version control, testing, and documentation. Oversee multiple data engineering projects, ensuring timely delivery and quality assurance. Manage project budgets, timelines, and resources efficiently.
Qualifications and Skills
Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field. 7+ years of experience in data engineering, with at least 3 years in a leadership or management role. Proven experience in the financial services industry, with a strong understanding of data requirements and challenges specific to the sector. Expertise in designing and implementing data pipelines using tools such as Apache Spark, Kafka, Airflow, or similar. Strong proficiency in SQL, Python, Java, or Scala for data processing. Experience with cloud platforms like AWS, Azure, or Google Cloud, including data-related services (e.g., Redshift, BigQuery, Databricks). Solid understanding of ETL/ELT processes, data warehousing, and big data technologies. Familiarity with CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, Jenkins). Strong leadership and team management capabilities. Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Problem-solving mindset with a focus on delivering practical and scalable solutions.
Salary Information
The estimated salary range for this position is SGD $120,000 - SGD $180,000 per annum, depending on experience.
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