ASAPP is hiring a
Staff Data Engineer, Remote - India, United States

Summary

The job is for a Staff Data Engineer at ASAPP, a company specializing in Vertical AI and customer experience improvement. The role involves designing, building, and maintaining data infrastructure systems to handle growing volumes of data and improving existing metric-driven development and machine learning capabilities. The position is hybrid with a preference for candidates near the Bengaluru office.

Requirements

• 12+ years of experience in general software development and/or dev-ops, sre roles in AWS
• 5+ years experience in data engineering, data systems, pipeline and stream processing
• Expertise in at least one flavor of SQL, e.g. Redshift, Postgres, MySQL, Presto/Trino, Spark SQL, Hive
• Proficiency in a high-level programming language(s). We use Python, Scala, Java, Kotlin, and Go
• Experience with CI/CD (continuous integration and deployment)
• Experience with workflow management systems such as Airflow, Oozie, Luigi, and Azkaban
• Experience implementing data governance, i.e. access management policies, data retention, IAM, etc
• Confidence operating in a devops-like capacity working with AWS, Kubernetes, Jenkins, Terraform, etc., thinking about automation, alerting, monitoring, and security and other declarative infrastructure

Responsibilities

• Design and deploy improvements to our mission-critical production data pipeline, data warehouses, data systems
• Recognize data flow patterns and generalizations to automate as much as possible to drive productivity gains
• Expand our logging and monitoring processes to discover and resolve anomalies and issues before they become problems
• Develop state-of-the-art automation and data solutions in Python, Spark and Flink
• Maintain, Manage, Monitor our infrastructure related including Kafka, Kubernetes, Spark, Flink, Jenkins, general OLAP and RDBMS databases, S3 objects buckets, permissions
• Increase the efficiency, accuracy, and repeatability of our ETL processes

Preferred Qualifications

• Bachelor's Degree in a field of science, technology, engineering, or math, or equivalent hands-on experience
• Experience in maintaining and managing kafka (not just using)
• Experience in maintaining and managing OLAP/HA database systems (not just using)
• Familiarity handling Kubernetes clusters for various jobs, apps, and high throughput
• Technical knowledge of data exchange and serialization formats such as Protobuf, Avro, or Thrift
• Experience in either deploying and creating Spark Scala and/or Flink applications