What you'll Do:
Build and operate a multi PB-scale data platform.
Design, code, and develop current features/fix bugs/improvements to systems and data pipelines (ETLs) while adhering to the SLOs.
Follow engineering best methodologies towards ensuring performance, reliability, scalability, and observability of the code.
Collaborate with other Software Engineers, ML Engineers, Data Scientists, and other collaborators, taking on learning and leadership opportunities that will arise every single day.
Support the professional growth of junior engineers.
Contribute to and promote sustainable engineering practices by incorporating best practices, producing outstanding code, documentation, testing and monitoring.
What You Bring :Bachelors degree in Computer Science, or a related technical field, or equivalent experience.
Minimum 5 years of robust data engineering design/development experience in building large-scale,



distributed data platforms/products.
Advanced coding expertise in SQL & Python/JVM-based language.
Exposure to heterogeneous data storage systems like relational, NoSQL, in-memory etc
Knowledge of data modeling, lineage, data access and its governance.
Proficient in AWS services like Redshift, Kinesis, Lambda, RDS, EKS/ECS, S3 etc
Exposure to open source software, frameworks and broader groundbreaking technologies (Airflow, Kafka, DataHub etc).
Familiar with infrastructure provisioning, deployment, observability tools like Terraform, DataDog etc
Proven track record to deliver work on time with attention to quality.
Excellent written and spoken communication skills and ability to work effectively in a geographically distributed team setting

📌 Senior Software Engineer Bengaluru
🏢 Zynga
📍 Bengaluru