Senior Data Engineer
Home Credit Vietnam | PPF
Nguyen Dang Giai (Next to Sai Gon Bridge), District 2, Ho Chi Minh
Không xác định
2018-12-02 -> 2018-12-03
- The technical experience that will help you succeed
- 2+ years hands-on experience in SQL and development experience in at least one scripting language (Python preferred)
- 2+ years experience in custom ETL design, implementation and maintenance schema + design and dimensional data modeling is a must
- Experience with sourcing and modeling data from application APIs is a must
- Experience with PostgreSQL or MySQL is a must
- Experience with building data pipelines in AWS environment (S3, Lambda, EC2, EMR, RDS, Firehose) is a plus
- Understanding of MPP/columnar data warehouse solutions (Snowflake, Redshift, BigQuery) is a plus
- Agile team-based software development tools and best practices (Trello, Jira, Confluence)
- The character and qualities that will help you succeed
- You are lazy in a productive way (find tedious work boring and would rather automate it)
- You thrive in a fast paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward.
- You deliver results quickly with iteration, instead of waiting for perfection
- Appreciate simplicity over complexity - pragmatic
- Love to ask questions and often think outside the box
- Have a high tolerance for ambiguity and fast-changing contexts
- You love freedom and hate being micromanaged. Given context, you're capable of self-direction.
- Your role in our team will be
- Build data products and social glue between engineers, scientists, product managers, and other analytics teams across Home Credit
- Design, build, optimize, launch and support new and existing data models and ETL processes in production
- Creatively explore how to use data to continually add value to Home Credit.
- Translate data questions into flexible methodologies that scale to answer broad problems across the organization.
- Explore new tech, make your own tool, or find a new way to address an old problem.