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Software Engineer II (R-17978)

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

Description For Software Engineer II (R-17978)

Dun & Bradstreet, a global leader in data analytics with over 6,000 team members worldwide, is seeking a Software Engineer II to join their technology team in Hyderabad, India. This role focuses on building and maintaining sophisticated data pipelines within their Big Data ecosystem, requiring expertise in ETL/ELT technologies, cloud platforms (particularly GCP), and various data processing tools.

The position demands a skilled professional with 6 years of experience in data engineering, particularly with technologies like Spark, Hadoop, and modern ETL tools. You'll be responsible for designing and implementing data pipelines, creating POCs for new technical capabilities, and ensuring optimal performance of data processing systems.

This is an excellent opportunity for a mid-level engineer looking to work with cutting-edge data technologies in a global company. The role offers a hybrid work arrangement and the chance to work on complex data challenges that directly impact business decisions worldwide. You'll be part of a team that values innovation and technical excellence, working with modern tools and technologies in the big data space.

The ideal candidate should have expert-level Python programming skills, strong experience with Spark and cloud platforms, and a deep understanding of data architecture. You'll be working in a collaborative environment, interfacing with platform engineers and data scientists to deliver robust data solutions that power Dun & Bradstreet's analytics capabilities.

Join a company that's dedicated to transforming business data into actionable insights, with a strong focus on innovation and professional growth. This role offers the opportunity to work on significant technical challenges while contributing to solutions that help global businesses make better decisions.

Last updated 2 months ago

Responsibilities For Software Engineer II (R-17978)

  • Design, build, and deploy new data pipelines within Big Data Eco-Systems using Streamsets/Talend/Informatica BDM
  • Design ETL/ELT data pipelines using StreamSets, Informatica or other ETL processing engines
  • Create POCs to enable new workloads and technical capabilities on the Platform
  • Manage workloads and enable workload optimization including resource allocation
  • Work with platform and infrastructure engineers to implement capabilities in production
  • Document new/existing pipelines and Datasets
  • Participate in planning activities and Data Science

Requirements For Software Engineer II (R-17978)

Python
MongoDB
Kubernetes
  • 6 years of experience in ETL/ELT Technologies
  • 6 years hands-on experience with Big Data technologies (Hadoop, Spark, Hive)
  • 3+ years of experience on Spark
  • 3 years of experience in Cloud environments, preferably GCP
  • 2 years of experience working in Big Data service delivery
  • Experience with NoSQL and Graph databases
  • Expert level programming skills in Python
  • Expert level programming skills in Spark
  • Strong exposure to relational databases DB2, Oracle & SQL Server
  • Experience with Apache Airflow for scheduling jobs
  • Strong knowledge of Big data Architecture (HDFS)

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