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inDrive is seeking an Analytics Engineer to join the Data Engineering team. This role focuses on building and maintaining robust data infrastructure and fostering a data-driven culture across the organization.
Key Responsibilities:
- Foster a culture of data-driven decision-making across the organization
- Design and build a unified system for processing, storing, and validating data, ensuring data integrity and accessibility
- Develop and maintain data processing and enrichment pipelines, participating in all stages from data capture to consumer presentation
- Develop and maintain infrastructure for big data storage and processing using Kubernetes (K8S) and Terraform
- Create and optimize APIs (REST, gRPC) for high-load data access services to enable efficient data retrieval
- Write integration and unit tests, develop automation tools for data validation and alerting
- Contribute to system design and architecture with the development team
Requirements:
- Advanced proficiency in Python 3.7+ with strong experience developing ETL processes using PySpark
- Proven experience developing data flows using Airflow2
- High level of expertise in SQL, including complex queries and optimization
- Extensive knowledge and industrial experience with Kubernetes (K8S)
- Strong understanding of data processing algorithms and principles, with experience in Spark/Flink
- Solid understanding of general programming concepts, including design patterns, OOP, modularity, and pure architecture
- Demonstrated ability to take ownership of technologies or services and proactively contribute ideas to the team
