Senior Manager Data Engineer (Databricks, Pyspark, Snowflake)
Core
Lead a team of developers to design, develop, test, implement, and support full-stack technical solutions and cloud-based data systems.
Role type
Senior Manager Data Engineer
Builds
Robust cloud-based solutions and data platforms for digital products
Domain
Financial services / Cloud data engineering
Deliverable
production ML models | product features | infrastructure
Required skills
People management, full-stack development, big data technologies, cloud computing, distributed data/computing, data warehousing, real-time data streaming, NoSQL implementation, UNIX/Linux, Agile engineering
Preferred skills
Advanced people management, deep application development experience, real-time streaming applications, NoSQL implementation, data warehousing, UNIX/Linux, Agile engineering
Technologies
Java, Scala, Python, RDBMS, NoSQL, Redshift, Snowflake, AWS, Microsoft Azure, Google Cloud, MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, MySQL, Mongo, Cassandra
Responsibilities
Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems; Collaborate with digital product managers to deliver robust cloud-based solutions; Perform unit tests and conduct code reviews to ensure rigorous design and performance tuning; Share passion for tech trends by experimenting with new technologies and mentoring the engineering community
Seniority
Senior, hands-on IC with people management
