Senior Data Engineer
Core
Designing, building, and optimizing critical data pipelines and infrastructure that power analytics and machine learning platforms at scale for a ride-hailing module.
Role type
Senior Data Engineer
Builds
High-volume data streams, real-time distributed systems, and ML pipelines processing hundreds of millions of data points daily.
Domain
Ride-hailing / Mobility / Real-time distributed systems
Deliverable
production ML models | infrastructure
Required skills
Distributed systems design, large-scale high-throughput data pipelines, ETL systems, relational databases (MySQL, PostgreSQL), NoSQL databases (DynamoDB, MongoDB, Cassandra), cloud data platforms (AWS), data pipeline orchestration (Apache Airflow, Spark, Kafka), data modeling, data quality, data governance.
Preferred skills
None stated.
Technologies
Python, Scala, Java, MySQL, PostgreSQL, DynamoDB, MongoDB, Cassandra, AWS, Apache Airflow, Spark, Kafka.
Responsibilities
Architect data solutions and manage data infrastructure, collaborate with cross-functional teams to implement scalable pipelines, ensure data quality and timely dataset delivery, review data architecture designs and code, handle on-call duty for pipeline issues, mentor junior data engineers.
Seniority
Senior, hands-on IC
