O9 D&a – Data Lake (raw/domain)

Mondelez International

Mumbai, India
Onsite
Gcp data services
Data pipeline builder
Data wrangler
Support the day-to-day operations of these GCP-based data pipelines, ensuring data governance, reliability, and performance optimization

Job Summary

  • Support the day-to-day operations of these GCP-based data pipelines, ensuring data governance, reliability, and performance optimization.
  • The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.
  • This role requires a flexible working schedule, including potential weekend support for critical operations, while maintaining a 40-hour work week.

Matching Summary

Support the day-to-day operations of these GCP-based data pipelines, ensuring data governance, reliability, and performance optimization.

Skills & Requirements

Must-have

  • GCP data services
  • Data pipeline builder
  • Data Wrangler
  • ETL/ELT and SCD concepts
  • SQL, PL/SQL fluency
  • SAP BW/HANA extraction
  • Python, PySpark, SparkR

Nice-to-have

  • Optimize data systems
  • Build from the ground up
  • Self-directed
  • Hunger to improve
  • Talend experience highly desirable

Key Requirements

  • 6+ years overall industry experience
  • 6-8 years building data pipelines
  • Experience with GCP services
  • Experience with data lake, data warehouse, data mart
  • Experience with Alteryx, SQL, Python, R, PySpark, SparkR
  • Experience with SAP, BW, Flat Files, RDBMS
  • Experience with JSON, XML

Work Rights

Not specified

Tailored Resume

Cover Letter