Cloud Data Engineering Lead

1 week ago

NorthEast Region, Singapore Maestro Human Resource Pte Ltd Full time $120,000 - $200,000 per year

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.


Key Responsibilities:

· 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.


Qualifications:

· Bachelor's or Master's degree in Computer Science, Engineering, or related field.

· 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.

Maestro HR

damien lee tian hong

R1106726

16C8462

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