hirly

Infosys

Databricks Engineer

Bangalore, India

See how you match this job — and similar ones. Free.

Upload your resume and hirly scores it against this role at Infosys first, then against similar open jobs, and shows where you fit and why.

PDF or DOCX, up to 12MB. No sign-up to see your matches.

Get past the screening software and onto a recruiter's desk

hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.

  • Keywords matched to this posting
  • Fit score before you apply
  • Cover letter included
Tailor my resume for this job →

Apply from your AI assistant

Connect hirly to Claude and ask it to apply to this job. hirly tailors your resume, fills the employer’s form and asks before sending. ChatGPT: manual setup today.

Some employer sites stop an application at a CAPTCHA or sign-in and hand it back with a link. Applying needs a paid plan. Works with any assistant that supports MCP.

hirly's read of this role

Seniority
Mid level
Country
IN
Work mode
On-site / unstated
First seen by hirly
13 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

We are looking for an experienced Databricks Engineer with 5-8 years of experience in designing, developing, and optimizing large-scale data solutions. The ideal candidate should have strong expertise in Databricks, PySpark, Spark, SQL, cloud platforms (AWS/Azure/GCP), and modern data engineering practices to build scalable and high-performance data pipelines.

Responsibilities

Roles & Responsibilities

Design, develop, and maintain data pipelines using Databricks.

Build ETL/ELT workflows for large-scale data processing.

Develop and optimize data transformation logic using PySpark and Spark SQL.

Implement and manage Delta Lake for reliable and efficient data storage.

Work with batch and real-time data ingestion frameworks.

Monitor and optimize data pipelines for performance and scalability.

Collaborate with data analysts, data scientists, and business stakeholders.

Ensure data quality, security, and governance standards are followed.

Troubleshoot production issues and provide ongoing support.

Technical requirements

5-8 years of experience in Data Engineering and Big Data technologies.

Strong hands-on experience with Databricks, PySpark, and Spark SQL.

Experience with Delta Lake, Databricks Workflows, and Unity Catalog.

Proficiency in Python and SQL.

Experience with Azure/AWS/GCP cloud platforms.

Knowledge of Azure Data Factory (ADF), Apache Airflow, or similar orchestration tools.

Understanding of data warehousing concepts and ETL/ELT methodologies.

Experience with Kafka/Event Hub for streaming data processing is preferred.

Familiarity with Git, CI/CD pipelines, and DevOps practices.

Strong problem-solving, analytical, and communication skills.

Education

MCA,MSc,MTech,BTech

Original posting on Infosys's site ↗

Listed on hirly, a job board. hirly is not the employer: Infosys is hiring for this role.

Browse similar roles

Want this one?

Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.

Tailor my resume for this job