BENGALURU · FULLTIME
Databricks Engineer

TrubrixAi
Bengaluru · onsite · Posted 8d ago
Your match
Sign in to see your match score, skill gaps & tailored resume.
Section · 01
About this role
Position type: Permanent (With MNC)
Experience: 5–10 years
Location: Bangalore
Interview process:
- Round 1: Virtual
- Round 2: Face-to-face (client location)
Key Responsibilities:
- Design, develop, and optimize ETL/ELT pipelines using Databricks
- Develop data solutions using PySpark, Spark SQL, and Databricks notebooks
- Work with large-scale structured and unstructured datasets
- Integrate data from multiple sources into data lakes and data warehouses
- Monitor, troubleshoot, and improve data pipeline performance
- Collaborate with business stakeholders, architects, and data analysts
- Implement CI/CD and data governance best practices
- Databricks with any cloud.
Sourced from foundit
Let the agent run this one for you.
Tailored resume, auto-apply, and referral lookup — in under 2 minutes.
Section · 02
Skills
Section · Company
About TrubrixAi

TrubrixAi
51-200
employees
Gurgaon / Gurugram, Haryana
India
About
TrubrixAI: Your Partner in Advanced Data Engineering and AI Solutions
At TrubrixAI, we are proud to be an exclusive partner with Databricks, delivering cutting-edge data engineering and AI solutions. This strategic alliance enables us to harness the full potential of Databricks, offering our clients innovative, efficient, and customized solutions.
With TrubrixAI and Databricks, businesses benefit from seamless integration, unparalleled flexibility, and faster time-to-market, ensuring they remain at the forefront of their industries in today's competitive landscape.
At TruBrix AI, we constantly focus on the future, driven by a desire to uncover untapped opportunities. Our innovative mindset and dedication to progress fuel the creation of cutting-edge solutions that transform industries, opening doors to new possibilities and shaping a more advanced and efficient future.
Deepak Sachdev, Founder and CEO of TruBrixAI, leads with a vision for innovation, driving transformative data engineering and AI solutions through strategic partnerships like Databricks.
Industries
Employee ratings
1 reviews
Culture
1.0
Career growth
1.0
Work-life
2.0
Employees rate it well for
Find them on