We are seeking a highly skilled and experienced Cloud Data Engineering Lead to spearhead our cloud-based data initiatives. You will be responsible for architecting, building, and maintaining scalable data pipelines and platforms in the cloud, enabling advanced analytics and data-driven decision-making across the organization.

QUALIFICATIONS:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 7+ years of experience in data engineering, with 2+ years in a leadership role.
• Proven expertise in cloud platforms (AWS, Azure).
• Strong programming skills in Python, Scala, or Java.
• Experience with big data technologies (Spark, Hadoop), ETL tools, and SQL.
• Familiarity with data modeling, warehousing, and real-time data processing.
• Excellent communication, leadership, and project management skills.
  5 day week @ AMK area
  Maestro HR
  damien lee tian hong
  R1106726
  16C846

• Leadership & Strategy
• Lead a team of data engineers in designing and implementing cloud-native data solutions.
• Define and drive the data engineering roadmap aligned with business goals.
• Collaborate with cross-functional teams, including Data Science, Analytics, DevOps, and Product.
• Architecture & Development
• Architect and implement scalable, secure, and cost-effective data pipelines and platforms.
• Design and optimize data lake, data warehouse, and real-time streaming architectures.
• Ensure high availability, performance, and reliability of data systems.
• Cloud & Tools
• Leverage cloud platforms (AWS, Azure). for data storage, processing, and orchestration.

Utilize tools such as Snowflake, Data Bricks, AWS Glue, Iceberg, Apache Spark, Airflow, Kafka, dbt, and Terraform.

• Implement CI/CD pipelines and infrastructure-as-code for data workflows.
• Governance & Quality
• Establish data governance, security, and compliance standards.
• Monitor data quality and implement automated validation and alerting mechanisms.
• Mentorship & Growth
• Mentor junior engineers and foster a culture of continuous learning and innovation.
• Conduct code reviews, technical workshops, and performance evaluations.