Lead data engineering efforts, manage data workflows, utilize AWS and SQL for data processing, and optimize data infrastructure.
- 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.
Top Skills
AWS
Glue
Lambda
Power BI
Python
Redshift
S3
Spark
SQL
Unison Consulting Singapore Office
1 Changi Business Park Crescent, , Plaza 8 #03-06 Tower A, Singapore, , Singapore, 486025
Unison Consulting Singapore Office
#12-00, 63 Market Street, Bank of Singapore Center, Singapore, , Singapore, 048942
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