Data Engineer

eTeam Inc; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

eTeam Inc. is seeking an experienced Lead Data Engineer to manage a team responsible for BAU operations, production support, and platform stability in a cloud-first environment.

You will drive architectural decisions using AWS services and Snowflake, focusing on scalable data solutions and data security compliance. The ideal candidate has 8+ years of data engineering experience, strong coding activity, and a proven track record with data lakes/warehouses and modern ETL tooling.

Qualifications

• Bachelor's degree in computer science or STEM field.
• Minimum 8+ years of data engineer experience with senior/lead responsibilities.
• 5+ years actively coding as a Lead handling support & production issues.
• Experience with large datasets and data lake/data warehouse technologies (Redshift, BigQuery, Snowflake).

Responsibilities

• Lead a team of data engineers in BAU operations, production support, incident management, and platform stability.
• Design optimized AWS architectures (S3, Glue, DMS, MWAA) and data platforms.
• Work with Snowflake architecture and data management processes.
• Mentor and guide a team of data professionals to foster collaboration and continuous improvement.
• Collaborate with IT teams to ensure seamless data solution integration and security compliance.

Skills

Team leadership

AWS

Snowflake

Airflow

MWAA

SQL

Python

Pyspark

Data security

Data strategy

Data integration

Mentoring

Incident management

Cloud optimization

Education

Bachelor's degree in CS or STEM

Tools

AWS Redshift

Google BigQuery

Snowflake

S3

Glue

DMS

MWAA

IAM

Airflow

Job description

Key Skills:

• Lead a team of data engineers in managing day-to-day BAU operations, production support, incident management, and platform stability.
• Strong AWS knowledge in terms of designing new architecture and providing optimized solutions for existing ones. (S3, Glue, DMS, MWAA, AMS, IAM).
• In-depth knowledge with respect to Snowflake and its architecture.
• Prefer prior Experience in BAU environment.
• Good knowledge on Airflow and MWAA.
• Hands-on experience in SQL/Python/Pyspark.
• Expertise in optimizing techniques in cloud environments.
• Should have the vision on data strategy and able to deliver the same.
• Should be able to lead the design and implementation of data management processes, including data sourcing, integration, and transformation.
• Able to manage and lead a team of data professionals, providing guidance, mentoring and foster a collaborative and innovative team culture focused on continuous improvement.
• To evaluate and recommend data-related technologies, tools, and platforms.
• Collaborate with IT teams to ensure seamless integration of data solutions.
• Should have experience in Implementing and enforcing data security protocols and ensure compliance with relevant regulations.

Required Qualifications:

• At least 8+ years of Data Engineer Experience
• Bachelor qualification in a computer science or STEM (science, technology, engineering, or mathematics) related field.
• At least 5+ years of recent hands-on professional experience (actively coding) working as a Lead handling support & production issue.
• 2+ experience with large scale datasets, data lake and data warehouse technologies such as AWS Redshift, Google BigQuery, Snowflake. Snowflake is highly preferred.