Senior Software Engineer - Data

• Developing and maintaining the Zeta Identity Graph platform, which collects billions of behavioural, demographic, locations and transactional signals to power people-based marketing.
• Ingesting vast amounts of identity and event data from our customers and partners.
• Facilitating data transfers across systems.
• Ensuring the integrity and health of our datasets.
• And much more.

As a member of this team, the data engineer will be responsible for designing and expanding our existing data infrastructure, enabling easy access to data, supporting complex data analyses, and automating optimization workflows for business and marketing operations.

Essential Responsibilities:

As a Senior Software Engineer or a Lead Software Engineer, your responsibilities will include:

• Building, refining, tuning, and maintaining our real-time and batch data infrastructure
• Daily use technologies such as Spark, Airflow, Snowflake, Hive, 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 on-call rotation in their respective time zones (be available by phone or email in case something goes wrong)

Desired Characteristics:

• Minimum 5-10 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 on-premises 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 and Hive
• Experience with web frameworks such as Flask, Django
• Experience in adequate usage of any scheduler such as Apache Airflow, Apache Luigi, Chronos etc.
• Experience in Kafka or any other stream message processing solutions.
• 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 in open table formats such as Iceberg, Hudi or Deltalake