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Software Engineer

3 months ago

Bengaluru, India RevSure AI Full time

Company Description

Introducing the future of B2B attribution: RevSure, the ONLY enterprise-grade Full Funnel attribution AI solution for complex GTM motions. 


RevSure is a go-to platform for marketing trailblazers with bold pipeline and ROI goals, offering killer insights, spot-on predictions, and actionable recommendations. The platform empowers modern demand generation teams to 3X their pipeline and confidently prove marketing ROI. Unlike legacy attribution solutions, RevSure combines full-funnel attribution with predictive intelligence and active recommendations, providing high-growth marketing teams the information they need to be more effective at every stage of the lead journey.


Role Description

The Data Platform team at RevSure AI is building an industry-first generic data model for storing and reporting on data from diverse sources systems that our customers use in tracking their end-to-end revenue life cycle.  Our reporting layer is built to power real-time querying of complex B2B Marketing & RevOps metrics in a multi-tenant ecosystem.  Building all of this comes with interesting challenges in every aspect of data engineering including Data Modelling, Configurability of ETL pipelines, Entity Resolution, Metadata Management, Data Governance etc. The role requires solid understanding of data systems and ETL patterns to design and author complex data pipelines built for Enterprise grade workloads.  Being an early member of the data team also provides a ton of learning opportunities and the chance to define and shape the architectural decisions involved in solving these challenges to help usher in a new era of Revenue Intelligence


Qualifications

  • Have 3+ years of experience with developing data applications using big data technologies such as Hadoop, Spark, Flink, Dataflow etc.
  • Experience with workflow orchestration tools preferably Airflow
  • Experience with coding languages like Python / Java / Scala
  • Experience with at least one cloud platform AWS/GCP/Azure
  • Hands-on experience and highly advanced knowledge of SQL, Data Modeling, ETL Development, and Data Warehousing
  • Experienced in scalable, configurable, parameterized, modular programming practices for data engineering.
  • Knowledge and experience with Data Management and Data Storage best practices.
  • Exposure to large databases, BI applications, data quality and performance tuning
  • Good to have understanding of job management, resiliency
  • Good to have prior experience with Graph, Time-series databases


Roles and Responsibilities

  • Architect highly metadata-driven data pipelines with algorithms for data deduplication, data harmonisation, fuzzy matching, identity resolution
  • Design and architect relational, time series and graph databases to run OLAP queries
  • Design and develop SDKs and APIs to enable configurable data consumption paradigms
  • Build tools to monitor the health of the data pipelines and data infrastructure
  • Develop and lead the Data Engineering team