AI/ML Engineer - Senior Consultant
Winfo Solutions (company site, opens in a new tab)4–8 yrsHyderabadOn-siteDirect career pageEst. 8–16 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain scalable ETL/ELT data pipelines using Databricks, PySpark, Python, and SQL.
- Integrate and optimize data pipelines connecting multiple data sources into data lakes and warehouses across cloud platforms (Azure, AWS, or GCP).
- Implement data quality checks, error handling, and monitor pipeline performance following CI/CD and deployment best practices.
Minimum Requirements
- 4–8 years of experience in Data Engineering / ETL roles.
- Strong hands-on experience with Databricks (mandatory).
- Proficiency in PySpark, Python, SQL, and deep understanding of ETL/ELT concepts and data pipelines.
- Experience working with cloud platforms such as Azure, AWS, or GCP.
Ideal Candidate Profile
- Experienced data engineer with a focus on building and optimizing cloud-based data pipelines using Databricks and related technologies.
- Comfortable collaborating with cross-functional teams including data architects and business stakeholders.
- Familiar with modern data integration practices, CI/CD pipelines, and monitoring data platform performance.