Data Engineering Team Lead

Pontoon Global; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

A technology organization in Singapore seeks a GCP Data Engineering Team Lead to design and optimize Google Cloud BigQuery solutions while leading a global team. The ideal candidate has 8-12 years of experience, with expertise in GCP and Agile methodologies. This position offers a Monday to Friday work schedule with benefits including paid time off.

Benefits

Paid time off

Provident Fund

Qualifications

• Minimum of 8-12 years of experience in a relevant field.
• Strong background in Team Leadership.
• Expertise in Google Cloud Platform (GCP), particularly BigQuery.

Responsibilities

• Design and optimize Google Cloud BigQuery solutions.
• Build ETL pipelines using GCS, DataFlow, and Airflow.
• Lead Agile delivery processes and manage a global team.

Skills

Team Leadership

Google Cloud Platform (GCP)

Agile methodology

SQL

Data Engineering

Tools

Google BigQuery

ETL

Airflow

Docker

Kubernetes

Job description

GCP Data Engineering Team Lead / Squad Lead

As the GCP Data Engineering Team Lead / Squad Lead, you will be responsible for designing and optimizing Google Cloud BigQuery solutions, including SQL and performance tuning. You will also be tasked with building ETL pipelines using GCS, DataFlow, Airflow/Cloud Composer, and developing Data Consumption APIs. Your role will involve leading Agile delivery processes such as sprint planning, coordination, and reviews, as well as managing and leading a global team.

To excel in this position, you should have a minimum of 8-12 years of experience, with a strong background in Team Leadership. Expertise in Google Cloud Platform (GCP), particularly BigQuery, is essential. Experience with Agile methodology and managing global teams will be advantageous for this role.

Benefits include paid time off and Provident Fund. The work schedule is Monday to Friday, with weekend availability as needed.

Note: The following skills and technologies are relevant for this role:

• ETL, Data Engineering, Data Warehousing
• GCP services: BigQuery, GCS, DataFlow, Cloud Composer, Cloud Function
• Tools and frameworks: Airflow, Apache Beam SDK, PySpark, CICD, Docker, Kubernetes
• Databases and data handling: SQL, NoSQL, MongoDB, ElasticSearch, DynamoDB
• Other: Data Migration, Data Processing, Data Modeling, Data Analytics, Firestore, IAM
• Methodologies: Agile