Databricks Engineer - Nice Software Solutions

OpenTalent

Maharashtra

On-site

INR 2,500,000 - 3,500,000

Full time

4 days ago
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Benefits offered by this job

Fitness & wellness partnerships
Local restaurant & lifestyle tie-ups
Clearly defined career progression
Upskilling & cross-skilling programs
Flexible work hours
Sustainable work-life balance
Health & accident insurance

Job summary

NICE is seeking an experienced Databricks Engineer to design, develop, and maintain scalable data pipelines across cloud platforms. The ideal candidate will have 8+ years of hands-on data engineering experience, with strong SQL, Python and PySpark skills, and a solid background in database design and data processing.

The role requires on-site work in Pune or Nagpur, India, contributing to enterprise-grade data solutions and collaborating with global teams to deliver robust data architectures.

Qualifications

  • 8+ years of experience in Data Engineering or related field.
  • Proven hands-on expertise in Databricks on cloud platforms.
  • Strong SQL, Python, and PySpark skills.

Responsibilities

  • Design, develop, and maintain scalable data pipelines and ETL processes using Databricks and PySpark.
  • Work with structured and semi-structured data across cloud platforms (AWS, Azure, GCP).
  • Write optimized SQL queries for data extraction and transformation; implement data ingestion into data lake/warehouse.

Skills

Databricks
PySpark
SQL
Python

Tools

Databricks
PySpark
SQL
Python

Job description

Why Build Your Career at NICE?

At NICE, careers are built with intention combining cutting-edge technology, continuous learning, and global exposure.

Impactful Innovation

Design and deliver enterprise-grade Data Engineering, Analytics, BI Reporting, and AI solutions that power real-world decision intelligence across industries.

Structured Career Growth

Role-based growth paths, certifications, leadership programs, and continuous upskilling. Certification reimbursement programs Planned progression, not guesswork

Global Client Exposure

Work with 1 00+ global clients across India, Middle East, USA, and beyond spanning BFSI, Retail, Media, Automotive, and Life Sciences.

On-Site & Consulting Opportunities

Gain hands-on exposure at client locations to strengthen consulting, communication, and solution architecture skills. Additionally, contribute to Centers of Excellence (CoEs) and innovation initiatives.

Empowered Work Culture

A collaborative, inclusive environment where ownership is encouraged and ideas are valued: Mentorship from senior architects & practitioners Flat, transparent communication

Rewards & Recognition

Spot awards, peer recognition, performance bonuses, and milestone celebrations that acknowledge impact—not just tenure.

A Vibrant Professional Community

Hackathons, CSR initiatives, sports, learning forums, and team celebrations that foster belonging and collaboration.

Perks & Benefits

Benefits That Support Your Professional and Personal Life

Fitness & wellness partnerships

Local restaurant & lifestyle tie-ups

Clearly defined career progression paths

Upskilling & Cross-skilling programs

Flexible Work Hours

Sustainable work-life balance

Health & accident insurance

Upskilling & Cross-skilling programs

Databricks Engineer
  • FullTime
  • EXP : 8+ Years
  • Pune / Nagpur , India
Job Summary

We are seeking an experienced Data Engineer with strong hands‑on expertise in Databricks on any cloud platform (AWS, Azure, or GCP), along with proven skills in SQL, Python, and PySpark . The ideal candidate will have a solid background in database design, data processing, and building scalable data pipelines in a cloud-based environment.

Key Responsibilities
  • Design, develop, and maintain scalable data pipelines and ETL processes using Databricks and PySpark
  • Work with structured and semi-structured data across various cloud platforms (AWS, Azure, or GCP)
  • Write optimized and complex SQL queries for data extraction and transformation
  • Implement data ingestion from various sources into the data lake/warehouse
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