Software/Data Engineer
Tasks
- Build and maintain data products and pipelines
- Build scalable distributed data processing pipelines
- Collaborate with data scientists and machine learning engineers on data requirements
- Design data product architecture for analytics and data science
- Enable data ingestion storage transformation and serving
- Implement data governance for reliable data
- Maintain data consistency availability and reliability
- Transform data using data modeling best practices
Perks/Benefits
- Gym discounts
- Hybrid work
- Learning resources
- Mental health support
- Mentorship
- Private healthcare
- Remote work days per year
- Wellbeing programs
- Work from home
Skills/Tech-stack
AWS Redshift | Amazon Web Services | Apache Airflow | Apache Flink | Apache Kafka | Apache Oozie | Apache Spark | CI/CD | Continuous Delivery | Continuous integration | Data Governance | Data Lake | Data Modeling | Databricks | DevOps | Feature Engineering | Infrastructure as Code | LightGBM | MLOps | Machine Learning | NoSQL | NumPy | Pandas | PostgreSQL | Python | SQL | Scikit-learn | Terraform | Web Services | XGBoost | “as-code”
Education
N/A
Roles
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