Jr Data Engineer (Hybrid)
Sprout Solutions
- Mandaluyong City, Metro Manila
- Permanent
- Full-time
- Build, optimize and maintain conceptual, logical and physical database models
- Develop database solutions to store and retrieve information
- Assemble datasets that meet functional/non-functional business requirements
- Build the infrastructure for optimal ETL from a wide variety of data sources
- Monitor data integrity and adopt appropriate tools
- Improve system performance
- Optimize or re-design data architecture to support Sprout’s next generation of products and data initiatives
- Design, develop, test and deploy web service APIs
- Work with Data Scientists to identify future needs and requirements
- Deploy models and algorithms developed by the Data team
- 1 year experience as Data Engineer or any data related role
- Extensive knowledge on databases (SQL and/or NoSQL) and data engineering best practices
- Expertise in SQL and other programming languages(e.g. Python, Java, Scala, shell scripting etc.)
- Experience with data modeling (data warehouse, data lake) and designing data storage schemes
- Familiarity with data engineering and ETL software tools, hadoop, spark, talend, SSAS, etc. is also helpful
- Experience building and optimizing data pipelines, architecture and datasets
- Experience in software development
- Experience with Azure
- A successful history of manipulating, processing and extracting value from large disconnected datasets
- Familiarity with data visualization tools (e.g. PowerBI)
- Familiarity with agile development as a project management methodology is a plus
- Strong problem-solving and analytical skills
- Must be self-motivated and comfortable supporting the data needs of multiple teams, systems and products
- A good team player and willingness to learn
- Strong innate desire and proven track record of continuous self-improvement (in learning, job expansion, extracurricular activities, etc.)