3+ Years of experience Part Time BengaluruResponsibilities

- Design, develop, and maintain robust data pipelines using Azure technologies.
- Ingest, transform, and structure data from various structured and unstructured sources.
- Implement and manage scalable data solutions using Azure Data Lake, Azure Data Factory, Azure Synapse, and Databricks.
- Ensure data quality, security, and compliance across all data solutions.
- Collaborate with data scientists, analysts, and other stakeholders to enable data-driven decision-making.
- Optimize performance of data workloads and troubleshoot bottlenecks.
- Participate in code reviews, documentation, and continuous improvement of data engineering best practices.

Requirements
- Bachelors degree in Computer Science, Engineering, or a related field.
- 3+ years of experience in data engineering roles.
- Expertise in Azure Data Lake,



Azure Data Factory, Azure Synapse Analytics, and Databricks.
- Strong experience in SQL, PySpark, and Python.
- Proficiency in building and managing data pipelines in cloud environments.
- Familiarity with Delta Lake, Parquet, and up-to-date data Lakehouse architectures.
- Solid understanding of data modeling, data warehousing, and ETL/ELT frameworks.
- Experience with version control tools like Git and CI/CD pipelines for data.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Engineer (Karnataka)
🏢 Retail Insights
📍 Karnataka