Sr. Data Engineer (5 Pm To 2 Am Ist)

Falcom

Pune, India
Fully onsite
Scalable data pipelines development
Etl/elt processes with airflow and dbt
Python scripting expertise
CrowdStrike is seeking a Senior Data Engineer to join their Finance Data and Analytics team in Pune, India, working from 5 PM to 2 AM IST. The role focuses on developing and maintaining scalable data pipelines and automation frameworks, requiring a strong technical background in data engineering and collaboration skills

Job Summary

  • CrowdStrike is a global leader in cybersecurity with a mission to stop breaches using the world’s most advanced AI-native platform.
  • The role involves owning and building scalable data pipelines, ensuring reliability and performance of finance data platforms in a fast-paced SaaS environment.
  • Employees benefit from market-leading compensation, comprehensive wellness programs, paid parental leaves, professional development opportunities, and a vibrant office culture.

Matching Summary

Match Score: 85

CrowdStrike is seeking a Senior Data Engineer to join their Finance Data and Analytics team in Pune, India, working from 5 PM to 2 AM IST. The role focuses on developing and maintaining scalable data pipelines and automation frameworks, requiring a strong technical background in data engineering and collaboration skills.

Skills & Requirements

Must-have

  • Scalable data pipelines development
  • ETL/ELT processes with Airflow and dbt
  • Python scripting expertise
  • Cloud database experience with Snowflake
  • Finance data automation frameworks
  • Data ingestion and transformation pipelines

Nice-to-have

  • Strong collaboration skills
  • Experience with Agile methodologies
  • Knowledge of Finance metrics
  • Proficiency in Salesforce or similar CRM
  • Ability to explain technical concepts to non-technical stakeholders

Key Requirements

  • 5+ years experience in complex automation frameworks
  • Experience with ETL/ELT and data pipelines
  • Hands-on Agile and JIRA experience
  • Experience scaling operations in high-growth environments

Work Rights

Not specified

Tailored Resume

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