Sr. Data Engineer

  • Engineer
  • WFH | Remote
  • Posted 5 months ago
Job Summary:

WovV Technologies, a global business productivity SaaS company and recognized amongst Top 20 Global SaaS Startups is looking for a Senior Analytics Engineer. Permanent WFH/Remote opportunity.

WovVTech’s suite of products are now empowering users across 3000 locations in 50 countries to digitize their operations, get real-time decision-driven analytics, and improve productivity. It counts global fortune 500 companies as its customers for SaaS products and technology services.

Key Roles and Responsibilities:
  • Solid expertise in data extraction from different sources
  • Responsible for design, development, testing oversight and production implementation using Spark, Hive, Kafka, API, Scala, Python, SQL & cloud.
  • Build data models that can support dynamic and efficient data analysis, and collaborate with other teams to maintain and evolve those models over time
  • Ensure alignment to coding standard methodologies and development of reusable code
  • Partner with Data Analysts to understand business processes and identify opportunities to build scalable and efficient data models that can be used for scalable, refreshable analysis and reporting
  • Create and enable the generation of ad-hoc / on-demand data sets for use by analysts and data scientists
  • Work with Engineering teams to set up monitoring and alerting systems for business and product KPIs
Competences & Skills:
  • BS/MS in Computer Science or a related technical field.
  • 4+ years working with Analytics and Data Engineering teams with a mixed data engineering and analytics background
  • 4+ years of experience in scalable data architecture, fault-tolerant ETL, and monitoring of data quality in the cloud
  • Experience working on or leading initiatives around data governance, master data management, data catalogs, and enterprise data warehouse architecture
  • Strong analytical skills, data sensibility, and an able communicator
  • Open to working on multiple projects simultaneously
  • SSIS, SSRS preferable
  • ODS experience preferred
  • Proficiency in:
    • SQL
    • Python
    • Scala
    • hadoop
    • Dimensional Modeling
    • Data pipeline development, workflow management, and orchestration tools
    • ETL optimization and best practices
  • Snowflake or other column-oriented and cloud-based databases
  • Looker or any similar Business Intelligence tool
  • Relational Databases
Perks and Benefits:
  • Work from Home / Remote Working
  • Flexibility in timings
  • 5 Days working
  • Team Outing
  • Performance Bonus
  • Employee reference bonus policy
  • Exciting career path with an exponentially growing company
  • Fun activities
  • Abroad opportunities
  • Deserving compensation
Sr. Data Engineer
WFH | Remote
4+ Years
As per Industry Standard

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