Senior Data Engineer - Big Data Pipelines & AI
Senior Data Engineer at UARROW PTE. LTD. in Singapore designing, building and optimizing scalable big-data pipelines and ETL/ELT workflows with Spark/PySpark, SQL and Python. Day-to-day involves data ingestion, performance tuning, and implementing data models, warehouses and lakes, with AWS, Hadoop and modern AI tech valued.
- Compensation
- Not disclosed
- Location
- Singapore, Singapore
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Design, develop and optimize scalable data pipelines using Spark/PySpark
- Proficiency in SQL
- Proficiency in Python
- Build robust ETL/ELT workflows
- Ingest data from diverse sources
- Performance tuning of data pipelines
- Implement data models, data warehouses and data lakes
- Collaborate with architects, data scientists and engineers
Nice to have
- Experience with AWS
- Experience with Hadoop ecosystems
- Experience with modern AI tech
Full description
UARROW PTE. LTD. in Singapore seeks a Senior Data Engineer to design, develop and optimize scalable data pipelines using Spark/PySpark, SQL and Python, while collaborating with architects, data scientists and engineers.
You will build robust ETL/ELT workflows, ingest data from diverse sources, tune performance and implement data models, data warehouses and data lakes. Experience with AWS, Hadoop ecosystems and modern AI tech is valued.