Technical Lead

3 days ago


Queenstown, Singapore Rapsys Technologies Full time

**Job Summary**

**Key Responsibilities**
- Lead the design, development, and implementation of scalable data pipelines and solutions using Snowflake and other modern data technologies.
- Mentor and guide a team of data engineers, ensuring best practices in coding, design, and architecture.
- Develop and optimize complex SQL queries for large-scale data processing and analytics.
- Collaborate with cross-functional teams including data analysts, architects, and business stakeholders to understand requirements and deliver solutions.
- Build and manage ETL frameworks and data integration processes across various data sources.
- Ensure data quality, governance, and security standards are maintained across the pipeline.
- Provide technical leadership during development and deployment phases, troubleshooting and resolving issues as needed.
- Stay up to date with the latest trends and advancements in data engineering and cloud technologies.

**Required Qualifications**
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- 10+ years of experience in Data Engineering or related fields.
- Strong hands-on experience with **Snowflake** data platform.
- Expertise in **Advanced SQL** with the ability to write complex, performance-optimized queries.
- Proficient in **Python** for data manipulation, scripting, and automation.
- Experience in designing and managing **ETL/ELT frameworks** using tools like Informatica, Talend, Apache Airflow, or similar.
- Solid understanding of data modeling, data warehousing concepts, and cloud architecture.
- Excellent communication, problem-solving, and leadership skills.

**Preferred Qualifications**
- Experience working in Agile or DevOps environments.
- Knowledge of other cloud platforms (AWS, Azure, GCP) and services related to data analytics.
- Familiarity with CI/CD pipelines and version control tools (e.g., Git).

**Experience**:

- Snowflake: 1 year (preferred)
- Data Engineering: 1 year (preferred)
- ETL Frameworks: 1 year (preferred)
- Python: 1 year (preferred)
- Advance SQL: 1 year (preferred)

Work Location: In person


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