
Data Engineer Lead
2 weeks ago
Responsibilities
- 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 data engineering
- Debug and optimize existing data infrastructure and processes as needed
- Strong hands-on experience and ability to lead the team
- 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 an advantage
- 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, forming the core of a data engineering workflow on AWS
Mid-Senior level
Employment typeContract
Job function- Consulting
- IT Services and IT Consulting
Location: Singapore, Singapore
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