Reed And Willow
Create a free account
One signup unlocks everything for this job:
- Apply to this job and track your application
- See your personalized profile match score
- Generate an AI cover letter for this role
Pune · Hybrid · 1-3 Yrs · 19 hours ago
HR Consulting · 1 to 50 Employees · Pune, India
Reed & Willow, a pioneering Talent Solutions company in India, redefines recruitment norms. Our core: revolutionizing talent acquisition by blending design thinking with technology. Passion drives us, but encountering limited approaches in hiring disappoints. In today's business landscape, the battle isn't for money; it's for the right talent. We excel as strategic recruitment partners, using data-driven, unconventional methods to save time and costs. Our approach merges best practices, tech, and human touch, rejecting cookie-cutter strategies. Our mission? Identify, retain, and nurture talent for organizational transformation. That's Reed & Willow.
Hiring: Engineering
What employees say
+ - Friendly and open culture - Nice office - Good opportunities to learn
− - No cons other than the typical consulting environment. - If you're lazy, you'll be asked questions. (which is obvious)
More reviews on the company profile.
Interview experience · Advisory Senior Consultant
Fast process. And it was virtual interview . 3 rounds. One is with the CeO Janoo. Where a lot on technical part was not discussed but on other aspirantions. Interview went for 30 min max, where I felt it could have been
Average difficulty · Pune · 3 reports
More interview insightsJob description
Overview
We are hiring a skilled Data Engineer to design, build, and optimize modern data pipelines supporting analytics, experimentation, and real-time insights.
Responsibilities
- Data Pipeline Engineering
- Data Quality, Governance & Insights
- Containerization & DevOps for Data
- Experimentation & Data Products
Qualifications
- Technical Skills (Mandatory)
- Strong experience with Python for data engineering
- Hands-on experience with Spark / PySpark
- Strong SQL skills
- Familiarity with Airflow, Jupyter, Apache NiFi (preferred)
- Understanding of distributed data systems, data lakes, and warehousing concepts
- Professional Experience
- 5–7 years in a data engineering role
- Understanding of operational frameworks such as ITIL (preferred)
Education
- Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, or related field
- Personal Attributes
- Strong analytical and problem-solving mindset
- Passion for fintech and emerging technologies
- High ethical standards and data-driven thinking
- Effective communication and collaboration skills
- Ability to work in a dynamic, agile environment
Benefits
- Competitive compensation and wellness benefits
- Hybrid work flexibility
- Learning & development programs
- Global project exposure
- People-centric, collaborative work culture
Verify Python for this role
Free PRACTICE for Python adds a verified skill signal that can boost how roles like this rank for you — optional, not required to browse or apply.
Sign up — verify Python free →Want match scores and deeper insight? Create a free candidate profile
Job application FAQ
Last updated 10 October 2026
- How do I apply for Data Engineer (Pune/Hybrid) at Reed And Willow?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Reed And Willow may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer (Pune/Hybrid) role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineer (Pune/Hybrid) remote or on-site in Pune, Maharashtra?
- This listing is marked hybrid with location Pune, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Data Engineer (Pune/Hybrid) role at Reed And Willow?
- This is a mid-level Data Engineer (Pune/Hybrid) role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.