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9 ASAPP Jobs

Staff Data Engineer, Infrastructure

12-14 years

Bangalore / Bengaluru

1 vacancy

Staff Data Engineer, Infrastructure

ASAPP

posted 2mon ago

Job Role Insights

Job Description

We re looking to hire a staff data engineer with the knack for building out data infrastructure systems that can handle our ever-growing volumes of data and the demands we want to make of it. Automation is a key part of our workflow, so you ll help design and build highly-available data processing pipelines that self-monitor and report anomalies. You ll need to be an expert in ETL processes and know the in s and out s of various data stores that serve data rapidly and securely to all internal and external stakeholders. As part of our fast-growing data engineering team, this role will also play an integral role in shaping the future of data infrastructure as it applies to improving our existing metric-driven development and machine learning capabilities.
 

What youll do
  • 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
  • Know how to make the tradeoffs required to ship without compromising quality
What youll need
  • 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
What wed like to see
  • Bachelors 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.

Employment Type: Full Time, Permanent

Functional Areas: Software/Testing/Networking

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