Data Engineer 2
Providence Global Center (company site, opens in a new tab)3–5 yrsHyderabadOn-siteDirect career pageEst. 12–20 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable data pipelines ingesting structured, semi-structured, and unstructured data using Azure Data Factory, Azure Databricks, and Snowflake.
- Build data ingestion frameworks for various file formats and API integration to support analytics, reporting, and AI use cases.
- Troubleshoot and optimize data pipelines regarding performance, failures, and data quality issues.
Minimum Requirements
- 3-5 years of experience in Data Engineering, ETL/ELT development, or Analytics Engineering.
- 2-4 years of hands-on experience with Azure cloud technologies including Azure Data Factory, Azure Databricks, and ADLS Gen2.
- Proficiency with Snowflake and strong SQL skills including query optimization and data modeling.
- Work Experience Required: 3-5 years in relevant data engineering roles.
Ideal Candidate Profile
- Experienced in building and maintaining complex data pipelines in cloud environments, specifically Azure and Snowflake.
- Skilled in integrating diverse data sources including APIs and multiple file formats for enterprise applications.
- Experience supporting AI/ML workflows by preparing datasets and enabling AI-powered data processing.