Job Opening for Databricks Developer (Job Code RT 1555)

Radical Technologies; Bengaluru; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

A data engineering solutions firm in India is seeking an experienced Databricks Engineer to design and maintain scalable data pipelines on the Databricks platform. The ideal candidate will have strong expertise in Databricks, Python, SQL, and PySpark, and must hold a Databricks Certification. Responsibilities include optimizing data processing jobs and ensuring data quality. Experience with cloud platforms like AWS, Azure, or GCP is preferred.

Qualifications

• 2–6 years of hands-on experience in data engineering.
• Databricks Certification is mandatory.
• Strong proficiency in Python, SQL, and PySpark.

Responsibilities

• Design, build, and maintain scalable data pipelines using Databricks and PySpark.
• Develop efficient data transformations using Python and SQL.
• Optimize data processing jobs for performance and cost.

Skills

Databricks expertise

Python

SQL

PySpark

Problem-solving

Analytical skills

Education

Databricks Certification

2-6 years of hands-on experience in data engineering

Tools

CI/CD pipelines

AWS

Azure

GCP

Job description

We are seeking an experienced Databricks Engineer / Data Engineer with strong expertise in Databricks, Python, SQL, and PySpark. The candidate will be responsible for designing, developing, and maintaining scalable data pipelines and analytics solutions on the Databricks platform.

• Design, build, and maintain scalable data pipelines using Databricks and PySpark
• Develop efficient data transformations using Python and SQL
• Work with large volumes of structured and semi-structured data
• Optimize data processing jobs for performance and cost
• Ensure data accuracy, quality, and reliability
• Collaborate with cross-functional teams to understand data requirements
• Follow best practices for data engineering and cloud-based data solutions

Required Skills & Qualification

• 2–6 years of hands‑on experience in data engineering
• Databricks Certification (mandatory)
• Strong experience with Databricks
• Proficiency in Python, SQL, and PySpark
• Experience in building and optimizing ETL/ELT pipelines
• Good understanding of data engineering best practices
• Strong problem‑solving and analytical skills

Preferred / Good to Have

• Experience with cloud platforms such as AWS, Azure, or GCP
• Knowledge of Delta Lake and data optimization techniques
• Familiarity with data warehousing concepts
• Experience with CI/CD pipelines for data workflows