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Yantran
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On-site · 1-3 Yrs · Oct 7
1 open role0 posted in 7d1 in 30d
Hiring: Engineering
Job description
Overview
Seeking a Databricks Engineer to design and develop modern data engineering, analytics, and AI solutions using the Databricks platform.
Responsibilities
- Develop data pipelines using Databricks.
- Build Lakehouse architectures.
- Develop notebooks using Python/PySpark/SQL.
- Implement Delta Lake solutions.
- Build ETL/ELT pipelines.
- Optimize Spark workloads.
- Implement data quality and governance.
- Integrate Databricks with cloud storage and enterprise systems.
- Support machine learning and AI workloads.
- Implement CI/CD for Databricks deployments.
Qualifications
- Databricks.Apache Spark/PySpark.Python.SQL.Delta Lake.Lakehouse architecture.Azure/AWS/GCP.Data pipelines.Unity Catalog preferred.Databricks Workflows.CI/CD. .
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Job application FAQ
Last updated 31 October 2026
- How do I apply for Databricks Data Engineer at Yantran?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Yantran may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Databricks Data Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Databricks Data Engineer remote or on-site in the listed location?
- This listing is marked on_site. Confirm details on the job description before applying.
- What skills matter for this Databricks Data Engineer role at Yantran?
- This is a mid-level Databricks Data Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.