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Databricks Engineer

Role overview

Qualifications

  • 12+ years of overall IT experience
  • Databricks Certified Data Engineer Professional
  • Strong hands-on Databricks experience
  • 10+ end-to-end Databricks implementation projects

Responsibilities

  • Utilize Databricks and Apache Spark for data engineering tasks
  • Implement and optimize performance of data pipelines
  • Design and manage Lakehouse architecture
  • Engage with clients and manage stakeholder relationships

About the company

Weekday (YC W21) logo

Weekday (YC W21)

Staffing & Recruiting

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Company details

IndustryStaffing & Recruiting
Company size11 - 50

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Job description

This role is for one of Weekday’s clients
Salary range: Rs 1000000 - Rs 6000000 (ie INR 10 - 60 LPA)


Min Experience: 12+ years
Location: Remote (India), India, Bengaluru, Karnataka, NCR, Pune, Telangana, Hyderabad
JobType: full-time

🕐 Work Hours: EST Time Zone / Night Shift

📋 Duration: Long-Term Contract

🔄 Dual Project: Acceptable

Requirements

Must-Have Skills

• Databricks
• Apache Spark & PySpark
• Python & SQL
• AWS / Azure / GCP
• Lakehouse Architecture
• Data Engineering & ETL/ELT
• Data Modeling & Data Warehousing
• CI/CD & DevOps
• Delta Lake, Unity Catalog, MLflow
• Performance Optimization
• Solution Architecture & Systems Integration

🎯 Mandatory Certification:
Databricks Certified Data Engineer Professional

Key Requirements

• 12+ years of overall IT experience
• Strong hands-on Databricks experience
10+ end-to-end Databricks implementation projects
• Enterprise-scale cloud data platform experience
• Strong client-facing consulting and stakeholder management skills
• Excellent communication, presentation and leadership skills
• Experience with production-grade data platforms and Lakehouse architecture

Must-have skills

Databricks Engineer, AWS, Python

Good-to-have skills

Data Engineering, Databricks Certified, stakeholder

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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