Position: Senior Data Engineer
Organization: noon
Location: Haryana
Key Responsibilities
● Design, develop, implement, test, and operate large-scale, high-volume, high-performance data
structures for analytics and Reporting.
● Develop tools and interface for sourcing, demand planning, and merchandising team for
better control mechanism and easier decision making,
● Interface with business customers, gathering requirements, and delivering complete reporting
solutions.
● Interface with business and Ops groups to gather data and metrics requirements. Deep dive
into business metrics to identify and suggest improvement areas
● Develop and own product adoption metrics via clickstream dashboard for DF pages on VC
● Develop real-time tracking tools and dashboards for DF performance reporting, managing &
troubleshooting node launch pipeline
● Develop automated, scalable analytical solutions for large-scale, business-critical problems.
For eg: building a self-service tool for category managers to assess the health of DF business
● Translate analytic insights into concrete, actionable recommendations for business or
product improvements. Work with several internal teams to drive action on recommendations.
● The individual will not just own the analysis but also driving adoption and results through
stakeholder collaboration.
● Support strategic data analysis requests, prioritizing based on business needs
Requirements
● Strong SQL, Python, and R skills,
● Strong in Data Warehousing and Data Modelling concepts
● HDFS, Hive, Oozie, Airflow, MapReduce, Spark.
● Programming languages - Python, Java, Scala, etc.
● Experience in building ETL Data Pipelines
● Performance Troubleshooting and Tuning
● 5+ years of experience with a bachelors degree in computer science preferred
Goalkeep
Triple Bottom Line (TBL)
Project Shiksha