Lead Software Engineer - Big Data

Zeta Global • Bangalore, IN

406d

About The Position

We are looking for lead or principal software engineers to join our Data Cloud team. Our Data Cloud team is responsible for the Zeta Identity Graph platform, which captures billions of behavioural, demographic, environmental, and transactional signals, for people-based marketing. As part of this team, the data engineer will be designing and growing our existing data infrastructure to democratize data access, enable complex data analyses, and automate optimization workflows for business and marketing operations.

Requirements

• 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 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, 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 Haves

• 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

Responsibilities

• 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)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Professional, Scientific, and Technical Services
• Number of Employees: 1,001-5,000 employees