Data Engineer Lead

Unison Consulting Pte Ltd; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A leading data consulting firm in Singapore is seeking a Data Engineer with 5 years of experience in data management and engineering, proficient in AWS services like Glue and Redshift. The ideal candidate excels in problem-solving and communication, and will also lead a team to optimize data infrastructure. Strong skills in Python and SQL are essential. This role offers an opportunity to engage with cutting-edge data solutions.

Qualifications

• 5 years of experience in data management, data engineering, or data visualization.
• Strong hands-on experience and ability to lead the team.
• Excellent communication skills for expressing ideas effectively.

Responsibilities

• Debug and optimize existing data infrastructure and processes as needed.
• Work independently and in a team environment.
• Utilize AWS services for data engineering workflows.

Skills

Data management

Data engineering

Data visualization

Python

AWS

SQL

Problem-solving

Communication

Tools

AWS Glue

Amazon Redshift

Power BI

Amazon S3

Amazon EMR

Job description

• 5 years of experience in data management, data engineering, or data visualization.
• Experience with Python, AWS, Glue, spark, redshift, Lambda, S3 and strong Sql (DWH).
• Excellent with AWS side of data engineering.
• Amazon S3 for storage, AWS Glue for ETL, Amazon Redshift for data warehousing, Amazon Kinesis for real-time data processing, and AWS Lambda for serverless computing.
• Amazon EMR for large-scale processing and Amazon Athena for querying data, form the core of a data engineering workflow on AWS.
• Excellent problem-solving, organization, debugging, and analytical skills.
• Ability to work independently and in a team environment.
• Excellent communication skills for effectively expressing ideas to team members and clients.
• Understanding of relational database concepts and SQL querying.
• Experience with visualization tools - Power BI, will be advantage.
• Debug and optimize existing data infrastructure and processes as needed.
• Strong hands-on experience and to lead the team.