Job Title:
Senior Data Engineer

Work Mode:
Work From Office (WFO)

Notice Period:
Immediate to 30 days

Role Overview

We are hiring on behalf of our client for a Senior Data Engineer to design, build, and maintain scalable data pipelines, modernize legacy systems, and work on end-to-end data workflows using the Databricks platform and PySpark.

Must-Have Requirements

Candidates must meet
all
of the following criteria:
- Mandatory Certification (at least one):
Databricks Certified Data Engineer Associate
OR
Databricks Certified Data Engineer Professional
- 5-8 years
of experience in data engineering or related roles
- At least
2–3 years
of hands-on experience with the Databricks platform
- Strong
Python
programming skills for data processing and automation
- Proven hands-on experience developing data pipelines using
PySpark
, including DataFrames API, Spark SQL, and performance optimization
- Proven track record of




refactoring legacy code
to contemporary frameworks
- Background working across
multiple data sources and formats
- Experience working in
agile development environments
- Excellent communication and stakeholder management
skills (client-facing role)
- Job stability
– minimum 2 years of continuous employment in a single organization

Additional Information
- Local candidates are preferred (Pune)
- Selected candidate will be required to travel to Singapore within 30–45 days of onboarding
- Interview process: 2 technical rounds + 1 client round + HR discussion

Note:
Only candidates who fully meet all the Must-Have requirements listed above will be considered.

*We are a recruitment consultancy hiring on behalf of our client.*

📌 Senior Data Engineer (Pune City)
🏢 Wayfinder Solutions
📍 Pune City