Data Engineer
Tasks
- Build publish and maintain data pipelines
- Collaborate with data scientists and machine learning engineers to refine data requirements
- Design data product architecture for analytics and data science
- Ensure data consistency availability and reliability
- Implement batch distributed processing and near real time streaming pipelines
- Ingest store transform and serve data products
- Lead data transformation and set data best practices
- Set up data modeling performance optimization and data governance
- Test and evaluate emerging open source data tools
Perks/Benefits
- Growth plan
- Gym discounts
- Learning resources
- Mental health support
- Mentorship
- Private healthcare
- Wellbeing programs
- Work from anywhere
- Work from home
Skills/Tech-stack
Amazon Redshift | Amazon Web Services | Apache Airflow | Apache Flink | Apache Kafka | Apache Oozie | Apache Spark | CI/CD | Data Governance | Data Modelling | Data Quality | Databricks | DevOps | Feature Engineering | Infrastructure as Code | LightGBM | MLOps | Machine Learning | NoSQL | NumPy | Pandas | PostgreSQL | Python | SQL | Scikit-learn | Web Services | XGBoost | “as-code”
Education
N/A
Roles
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