codvo-team~1d ago
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Senior Data Engineer (Databricks) (Remote)
India·PuneRemoteseniorData EngineerData
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Quick Summary
Overview
Senior Data Engineer (Databricks) Experience: 4-8+ yrs
Key Responsibilities
Design, develop, and maintain scalable data pipelines using Databricks and Python Build and optimize ETL workflows for structured and unstructured data Work with Databricks Lakehouse architecture and implement best practices Manage and implement…
Requirements Summary
Experience with REST API development (Flask, FastAPI, etc.) Knowledge of authentication/authorization (OAuth, API keys, IAM roles) Strong query optimization and performance tuning skills Experience with PySpark optimization Exposure to ML/AI…
Technical Tools
awsfastapiflaskpythonsparkdata-visualizationetloauthperformance-optimizationrest-apissql-optimization
Senior Data Engineer (Databricks)
Experience: 4-8+ yrs
Experience: 4-8+ yrs
About Us
At Codvo, we build scalable, future-ready digital platforms that drive real business impact. We foster a culture of innovation, collaboration, and ownership—where designers work closely with product and engineering teams to deliver high-quality, user-centered experiences. If you thrive in complex product environments and care deeply about design quality from concept to production, this role is for you.
About the Role:
We are looking for a Senior Data Engineer with strong expertise in Databricks and modern data platforms. The ideal candidate will be responsible for building scalable data pipelines, optimizing data workflows, and enabling data-driven decision-making across the organization.
We are looking for a Senior Data Engineer with strong expertise in Databricks and modern data platforms. The ideal candidate will be responsible for building scalable data pipelines, optimizing data workflows, and enabling data-driven decision-making across the organization.
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines using Databricks and Python
- Build and optimize ETL workflows for structured and unstructured data
- Work with Databricks Lakehouse architecture and implement best practices
- Manage and implement data governance using Unity Catalog
- Integrate AWS data services such as S3, IAM, VPC, and other relevant services
- Collaborate with cross-functional teams to deliver high-quality data solutions
- Build dashboards and support data visualization requirements
- Ensure data quality, reliability, and performance optimization
Must-Have Skills:
- Strong experience with Databricks platform
- Proficiency in Python for data engineering and ETL pipelines
- Hands-on experience with Unity Catalog
- Good knowledge of AWS services (S3, IAM, VPC, Glue/Lambda – preferred)
- Solid understanding of Data Lake / Lakehouse architecture
- Experience in building dashboards and reporting solutions
Nice to Have:
- Experience with REST API development (Flask, FastAPI, etc.)
- Knowledge of authentication/authorization (OAuth, API keys, IAM roles)
- Strong query optimization and performance tuning skills
- Experience with PySpark optimization
- Exposure to ML/AI pipelines
- Familiarity with Databricks AI/BI capabilities
Good to Have:
- Strong problem-solving and analytical skills
- Excellent communication and collaboration abilities
Note- Please apply via our official careers portal only, as applications sent directly to executives may not be considered.
Location & Eligibility
Where is the job
Pune, India
Remote within one country
Who can apply
IN
Listing Details
- First seen
- May 6, 2026
- Last seen
- May 8, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 59%
- Scored at
- May 6, 2026
Signal breakdown
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External application · ~5 min on codvo-team's site
Please let codvo-team know you found this job on Jobera.
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