Data Infrastructure Specialist
3 days ago
Job Overview
FlinTex Consulting PTE. LTD. is seeking a highly skilled Data Infrastructure Specialist to join our team. As a key member of our data engineering team, you will play a crucial role in designing and implementing efficient data infrastructure solutions that meet the needs of our clients.
About the Role
We are looking for a talented individual with 3-5 years of experience in data engineering, preferably in Snowflake, to join our team as a Senior ETL Developer. The successful candidate will be responsible for designing, creating, and modifying ETL pipelines in Azure Data Factory to ensure efficient data flow from source to destination.
Responsibilities
- Design and Implement ETL Pipelines: Design, create, and modify ETL pipelines in Azure Data Factory to ensure efficient data flow from source to destination.
- Ensure Data Accuracy and Integrity: Ensure data accuracy and integrity throughout the ETL processes via data validation, cleansing, deduplication, and error handling.
- Monitor and Optimize ETL Processes: Monitor the ETL processes and optimize ETL pipelines for speed and efficiency, addressing bottlenecks, and ensuring the ETL system can handle the volume, velocity, and variety of data.
- Participate in Data Modeling: Participate in data modeling, designing of the data structures and schema in the data warehouse to optimize query performance and align with business needs.
- Collaborate with Teams: Work closely with different departments and IT teams to understand data requirements and deliver the data infrastructure that supports business goals.
- Provide Technical Support: Provide technical support for ETL systems, troubleshooting issues and ensuring the continuous availability and reliability of data flows.
Requirements
- 3-5 Years of Experience: 3-5 years of experience in data engineering, preferably in Snowflake.
- Domain Knowledge: 3-5 years in upstream/downstream retail industry and/or supply chain/manufacturing domain.
- Proficiency in Data Analytics Languages: Proficiency in data analytics languages like Python, Java, Scala, etc.
- Knowledge of Big Data Technologies: Knowledge of big data technologies like Hadoop, Spark, and distributed computing frameworks to manage large-scale data processing.
- Version Control Systems: Proficient in using version control systems like Git for managing code and configurations.
Salary Range
The salary range for this position is estimated to be between SGD $80,000 - SGD $120,000 per annum, depending on experience and qualifications.
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