Senior Data Engineer - Python

Job Location: 100% remote in Romania
Recruitment process:

- HR Screening

- Tech interview (1,5 hours)

- PM discussion (20 min)

- Client interview (45 min)

Profile:

- Understanding the business requirements

- Writing code and implementing the proposed solutions

- Creating data pipelines, versioning and change management

- Manage the complexity inherent in versioned data pipelines

- Building and maintaining ETL processes

- Logging and instrumentation of pipelines and services

- Ensuring data quality

- Strong debugging skills to analyze and fix a defect in the data processing

- Should be a good team player and a great collaborator

Qualifications:

- Demonstrated expertise with a minimum of 3+ years of experience as data engineer or similar role

- Advanced SQL skills and experience with relational databases

- Strong Python skills with hands-on experience on Panda, NumPy and other data-related libraries

- Strong exposure to write ETL / pipeline code

- Experience in Data collection from multiple sources and integrating based on business needs

- Experience in working with Google Cloud Platform and Amazon Web Services
- GCP: Cloud Functions, Cloud Storage, Dataform, etc.

- AWS: ECS, Lambda, EC2, S3, etc.

- GitHub Actions for CI/CD, workflows

- Terraform

- Proficiency in the English language.

Additional experience:

- Exposure to AI / ML

- Exposure to Looker Studio, Tableau, PowerBI;

Experience in working with:

- Looker Enterprise

- Google Analytics

- Google Tag Manager

- Firebase

- Salesforce

- Hightouch

- Datadog

Originally posted on Himalayas