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Senior Software Engineer (R-18238)

Dun & Bradstreet unlocks the power of data through analytics, helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity.
Data
Senior Software Engineer
Hybrid
5,000+ Employees
8+ years of experience
Enterprise SaaS · Data

Description For Senior Software Engineer (R-18238)

Dun & Bradstreet, a global leader in data analytics with over 6,000 team members worldwide, is seeking a Senior Software Engineer to join their technology team. This role focuses on building and maintaining sophisticated data pipelines and infrastructure using cutting-edge technologies. The position requires expertise in Big Data technologies, cloud platforms, and distributed systems.

The ideal candidate will be responsible for architecting and implementing scalable data solutions using Apache Spark, Airflow, and cloud services (AWS/GCP). They will work on designing data pipelines, managing cloud infrastructure, and optimizing data processing workflows. The role demands strong programming skills in Python and experience with modern data warehousing practices.

This is an excellent opportunity for an experienced engineer who is passionate about working with large-scale data systems and wants to contribute to a company that transforms data into valuable business insights. The position offers a hybrid work environment in Hyderabad, India, and the chance to work with a global team dedicated to innovation and creative problem-solving.

The company culture emphasizes being data-inspired, relentlessly curious, and inherently generous. They value diverse perspectives and bold thinking, making it an ideal environment for professionals looking to make a significant impact in the field of data engineering and analytics. The role offers the opportunity to work on cutting-edge technologies while solving complex data challenges for businesses of every size and industry.

Last updated 4 hours ago

Responsibilities For Senior Software Engineer (R-18238)

  • Architect, build, and deploy scalable data pipelines using Apache Spark and Apache Airflow
  • Document new and existing pipelines and datasets
  • Design and implement distributed data processing solutions
  • Manage and optimize cloud-based data infrastructure
  • Develop and manage workflows using Apache Airflow
  • Create and maintain Apache Airflow DAGs
  • Create detailed designs and proof-of-concepts (POCs)
  • Collaborate with platform and infrastructure engineers

Requirements For Senior Software Engineer (R-18238)

Python
  • Minimum of 8 years hands-on experience with Big Data technologies e.g. Hadoop, Spark, Hive
  • Minimum 3+ years of experience on Spark
  • Hands on experience with dataproc
  • Minimum 6 years of experience in Cloud environments, preferably GCP
  • Experience with NoSQL and Graph databases
  • Hands on experience with managing solutions deployed in the Cloud, preferably on AWS
  • Experience working in a Global company, working in a DevOps model is a plus

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