Posted on: 20/07/2025
Job Title : Databricks Engineer
Location : Work from Office Madhapur, Hyderabad
Experience Required : Minimum 7+ Years (Mandatory)
Job Type : Full-time | Day Shift (IST)
Job Description :
We are looking for a skilled and experienced Databricks Engineer to join our team at our Hyderabad (Madhapur) office. The ideal candidate will have a strong background in data engineering, hands-on experience with Databricks, and a solid understanding of cloud platforms (AWS, Azure, or GCP). This is a great opportunity to work on cutting-edge data projects in a collaborative and fast-paced environment.
Key Responsibilities :
- Design and implement scalable and efficient data pipelines, ETL/ELT processes, and data integration solutions using Databricks.
- Work with large-scale structured and unstructured datasets using Python, PySpark, SQL, and NoSQL technologies.
- Collaborate with cross-functional teams to ensure high-quality and timely delivery of data.
- Build and maintain data models and implement ETL orchestration strategies.
- Adhere to software engineering best practices including :
1. Version control (Git, Subversion)
2. CI/CD pipelines (Jenkins, Maven)
3. Automated unit testing and DevOps for deployment
Required Skills & Experience :
- Minimum 7+ years of overall experience in Data Engineering (Mandatory)
- Hands-on experience with Databricks (preferably 5+ years)
- Strong experience with cloud platforms AWS, Azure, or GCP
- Proficiency in Python, PySpark, SQL, and NoSQL
- Experience with data modeling, ETL orchestration, and workflow automation
- Strong analytical and problem-solving skills
- Willingness to work from office (Madhapur, Hyderabad) in a hybrid setup
- Availability to work in day shift (IST)
How to Apply :
If you meet the above requirements, please share your updated resume along with the following details :
Total Experience :
Current CTC :
Expected CTC :
Notice Period :
Current Location :
Willing to work in a hybrid setup from Hyderabad? (Yes/No) :
Experience in Databricks (Years) :
Available for day shift in IST? (Yes/No) :
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Posted By
Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1516207
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