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Internet & Web Services · 51 to 200 Employees · Milan, Italy
0 open roles0 posted in 7d0 in 30d
Work-life balance 4.6Compensation & benefits 4.0Culture & values 4.3
What employees say
+ Good work place to work, work life balance
− I didnt find anything as of now
More reviews on the company profile.
Job description
Overview
Data Engineer – Databricks
Responsibilities
- Design, develop, and maintain scalable data pipelines using Databricks .
- Build and optimize ETL/ELT workflows for structured and unstructured data.
- Develop and manage data ingestion processes from multiple data sources.
- Process and analyze large-scale datasets using Apache Spark and PySpark .
- Design and maintain data models to support analytics and reporting.
- Optimize data pipeline performance and ensure data accuracy and quality.
- Collaborate with business and technical stakeholders to understand and translate data requirements.
- Implement data governance, security, and engineering best practices.
- Monitor, troubleshoot, and enhance existing data pipelines and data workflows.
- Document technical designs, processes, and data engineering standards.
- Contribute to the continuous improvement of data architecture and engineering practices.
Qualifications
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field .
- 5–7 years of experience in Data Engineering or a similar role.
- Strong hands-on experience with Databricks .
- Strong proficiency in Apache Spark and PySpark .
- Strong SQL skills and experience working with relational databases.
- Hands-on experience developing ETL/ELT data pipelines .
- Solid understanding of data warehousing concepts and dimensional modeling .
- Strong analytical, troubleshooting, and problem-solving skills.
- Excellent communication and collaboration skills.
- Familiarity with AWS Glue or equivalent cloud data services.
- Knowledge of CI/CD practices for data engineering.
- Databricks or cloud platform certifications are a plus.
- 5–7 years of relevant Data Engineering experience.
- 2–3+ years of hands-on Databricks experience preferred .
- Proven experience building and optimizing production-grade data pipelines.
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Job application FAQ
Last updated 15 September 2026
- How do I apply for Senior Data Engineer - Databricks at Jobrapido?
- 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. Jobrapido may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Senior Data Engineer - Databricks 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 Senior Data Engineer - Databricks remote or on-site in Ahmedabad, Gujarat?
- This listing is marked on_site with location Ahmedabad, Gujarat. Confirm details on the job description before applying.
- What skills matter for this Senior Data Engineer - Databricks role at Jobrapido?
- This is a senior Senior Data Engineer - Databricks role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.