Essential Responsibilities:

As a Lead or Principal Data Engineer, your responsibilities will include:
Building, refining, tuning, and maintaining our real-time and batch data infrastructure
Daily use technologies such as HDFS, Spark, Snowflake, Hive, HBase, Scylla, Django, FastAPI, etc.
Maintaining data quality and accuracy across production data systems
Working with Data Engineers to optimize data models and workflows
Working with Data Analysts to develop ETL processes for analysis and reporting
Working with Product Managers to design and build data products
Working with our DevOps team to scale and optimize our data infrastructure
Participate in architecture discussions, influence the road map, take ownership and responsibility over new
projects
Participating in 24/7 on-call rotation (be available by phone or email in case something goes wrong)
Desired Characteristics:
Minimum 7 years of software engineering experience.
Proven long term experience and enthusiasm for distributed data processing at scale, eagerness to learn
new things.
Expertise in designing and architecting distributed low latency and scalable solutions in either cloud and onpremises environment.
Exposure to the whole software development lifecycle from inception to production and monitoring
Fluency in Python or solid experience in Scala, Java
Proficient with relational databases and Advanced SQL
Expert in usage of services like Spark, HDFS, Hive, HBase
Experience in adequate usage of any scheduler such as Apache Airflow, Apache Luigi, Chronos etc.
Experience in adequate usage of cloud services (AWS) at scale
Experience in agile software development processes
Excellent interpersonal and communication skills

Nice to have:

Experience with large scale / multi-tenant distributed systems
Experience with columnar / NoSQL databases Vertica, Snowflake, HBase, Scylla, Couchbase
Experience in real team streaming frameworks Flink, Storm
Experience with web frameworks such as Flask, Django

Lead Software Engineer - Big Data