Data Infrastructure Specialist

3 days ago


Singapore FLINTEX CONSULTING PTE. LTD. Full time

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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