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Staff Data Engineer

Cowbell Cyber

Cowbell Cyber

Software Engineering, Data Science
Pune, Maharashtra, India
Posted on Wednesday, May 24, 2023

Job Location: Balewadi, Amar Tech Park , Pune

Interview Process: HR Screening call / Online Technical Assessment via Codility/ L1 Technical Round / L2 Hiring Manager OR Leadership Round.

Senior Data Engineer (Data Acquistion)

What you will do:

  • Partner with data scientists and business stakeholders to understand data needs and help build data products that scale across the company
  • Drive the collection of new data from first-party and third party data sources via APIs and the refinement of existing data sources.
  • Enhance Cowbell Connector platform in terms of adding new functionality, usability and observability.
  • Implement tools for monitoring and ensuring data quality and consistency
  • Collaborate with Architects and Lead Engineers to implement and maintain the standards and consistency for the data-pipelines and best practices
  • Experience in Continuous Integration, Delivery, and Deployment software tools to support, enhance, and grow our CI and CD capabilities
  • Experience in containerization using Docker and Kubernetes.
  • Develop and maintain effective working relationship with data suppliers

What Cowbell needs from you:

  • Solid experience in data ingestion and integration by consuming third-party APIs.
  • Proficient in one or more programming languages such as Java, Python etc. and rock-solid SQL skills
  • Experience implementing a data lake architecture and/or enterprise data solutions.
  • Experience with Data Warehousing solutions such as Snowflake, Redshift or similar solutions

Preferred qualifications:

  • 7+ years of experience in Data Engineering, 4 of which specific use of Python
  • Bachelor's or Master’s Degree in Computer Science, Information Systems, or other related field
  • Experience building large scale distributed data systems
  • Experience working with AWS/GCP/Azure big data technologies
  • Experience with distributed computing technologies like Apache Kafka, Spark etc.
  • Knowledge in data modeling, ETL development, and data warehousing
  • Knowledge of database and software engineering best practices across the development lifecycle including
  • Strong communication skills and experienced in gathering requirement

This is a hybrid role, which will require 3 days in office.