Junior Data Engineer:
- Proficiency working in Python and SQL is required.
- Proficiency building data pipelines in a production setting.
- Proficiency using Python packages like requests, scrapy, pandas, and sqlalchemy to perform extract, transform, and load operations.
- Proficiency working with third party API’s.
- Proficiency with data modelling techniques.
- Proficiency working with relational databases.
- Sound foundations in statistics and probability.
- B.S./B.S.E. degree in Applied Math, Data Science, Computer Science, Physics, Engineering or Similar Technical Field
Other required qualifications:
- Proven ability to work alone and with teams in a dynamic, multicultural environment.
- Passion for improving lives through evidence-informed policy.
- Strong oral and written communication skills in English. Fluency in languages spoken in countries where IDinsight works is a plus.
- Strong values aligned with IDinsight’s stated values.
- Ability and interest in sharing knowledge, mentoring others, presenting work and reviewing the work of others.
- Deeply passionate about global development and improving lives in disadvantaged populations
- Open-minded self-starter who will thrive while tackling new, unusual and unpredictable challenges
Preferred Qualifications
The most competitive applicants will also have experience in one or more of the following:
- Experience living and working in developing country settings.
- Experience working with popular data engineering platforms like Airflow, PySpark, and Kafka.
- Experience working with a cloud hosting platform, preferably AWS.
- Experience working with devops tools like Docker and Terraform.
- Experience working with R and R Shiny.
Locations
The position is located in New Delhi, India, with travel dependent on project needs.
