Snaphunt Pte Ltd – Data Engineer

• Work alongside & learn from best in class talent
• Join a well known brand within IT Services
• Excellent career development opportunities

The Job

Role & Responsibilities:

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

Ideal Candidate

Key competencies:

• At least 2 years’ experience in Data Warehouse operations, with good understanding of data warehousing concepts with good understanding of data warehousing concepts like (Data Models, SCDs, ETL / ELT, and RBACs). 
• Experience with building data pipelines and writing ETL / ELT scripts for data processing.
• Proficiency in SQL scripting for databases like AWS Aurora, Snowflake, and MSSQL. 
• Familiarity in Python programming. 
• Proficiency with data pipelining and scheduling tools like AWS Glue and Microsoft SSIS. 
• Familiarity with DevOPs and CICD tools such as Git, Docker, Terraform is a plus. 
• Able to administrate tools like Tableau Server. 
• Experience with Amazon Cloud services.
• Good written & verbal communication skill.

Ref: MC17OJ2G4W