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Data Engineer




Radancy’s Data Engineering team is seeking a motivated Data Engineer to build data products and services. The Data Engineering team works on data services across product organizations within Radancy and supports building a customer facing data visualization product. Team also supports an enterprise grade recruitment platform focusing on talent acquisition and job opportunity exploration.

The team has extensive experience in ETL development, works with large scale data in real time, and collaborates with other engineering teams across the organization.

  • Build and maintain ETL pipelines, Automated workflows, Data products and services, Reporting Suite etc. using latest technologies and tools i.e. Python, Docker, SQL Server, BigQuery, PostgreSQL, Airflow, Luigi, Tableau, ASP .NET, RabbitMQ, Kafka and many others
  • Work with Cloud Computing Platforms (GCP/AWS), ETL Orchestration tools(Luigi/Airflow), and other advanced open-source technologies
  • Data modeling, schema design, and SQL development
  • Ingest and aggregate data from both internal and external data sources to build our world class datasets
  • Develop and lead the testing and fixing of new or enhanced solutions for data products and reports, including automating ETL testing
  • Collaborate with Product Owner and domain experts to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
  • Assist with the development and review of technical and end user documentation including ETL workflows, research, and data analysis
  • Work with Product team to define data collection and engineering frameworks
  • Build monitoring dashboards and automate data quality testing
  • Own meaningful parts of our service, have an impact, grow with the company
  • 3+ years of Python, SQL, and ETL development 
  • Experience with at least one - Client Facing Product or Services or Reporting suite 
  • Strong Understanding of ETL pipeline, data lakes and data warehouse development
  • Exposure to at least one cloud computing platform (GCP/AWS/Azure), and cloud data warehouse (BigQuery/Redshift)
  • Experience delivering applications that run in a containerized environment is a plus
  • Basic knowledge of Machine Learning, ML Pipelines and tools is a plus
  • Some experience with any of these is a plus -  NLP, MLOps, DataOps, tensorflow/keras/pytorch
  • Exposure to agile methodologies and particularly scrum
  • Experience working with large datasets for several organizational units internally as well as externally is a huge plus
  • Enthusiastic about working with and exploring new data sets
  • Detail oriented, strong communicator, quick thinking and acting with minimal supervision 
  • Bachelor's degree in related area (Computer Science, Information Systems, Engineering) or an equivalent combination of education and experience

Join the global leader in talent acquisition technologies that’s committed to finding new ways to leverage software, strategy and creative to enhance our clients’ employer brands – across every connection point. We’re looking for unconventional thinkers. Relentless collaborators. And ferocious innovators. Talented individuals who are ready to work towards solutions that transform the way employers and job seekers connect.


Radancy is an equal opportunity employer and welcomes all qualified applicants regardless of race, ethnicity, religion, gender, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristic protected by law. We actively work to create an inclusive environment where all of our employees can thrive. 


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