Role Description We are seeking an experienced Senior Data Engineer with 8+ years of experience to join our team on a part-time, remote basis. This position requires 4 hours per day, 5 days per week (20 hours per week). We welcome qualified offshore candidates from India and other countries. The ideal candidate will have solid hands-on experience in SQL, PySpark, Databricks, and Azure Data Factory (ADF). Responsibilities include designing, developing, and optimizing scalable data pipelines, implementing ETL/ELT processes, troubleshooting data integration issues, and ensuring data quality and performance. Qualifications
- 8+ years of experience in Data Engineering or related roles.
- Advanced proficiency in SQL, including complex queries, stored procedures, and performance optimization.
- Strong hands-on experience with PySpark and Azure Databricks for large-scale data processing.




- Extensive experience with Azure Data Factory (ADF) for building and maintaining ETL/ELT pipelines.
- Solid understanding of data warehousing, data modeling, and cloud-based data architectures.
- Experience troubleshooting pipeline failures, optimizing performance, and ensuring data integrity.
- Strong analytical, problem-solving skills.
- Ability to work independently. Job Details
- Position: Senior Data Engineer
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Job Type
Part-Time (20 hours/week)
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Location:
Remote / Offshore
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Experience:
8+ years
- Preferred

Skills:
SQL, PySpark, Databricks, Azure Data Factory We are looking for a reliable, self-motivated professional who can deliver high-quality solutions with minimal supervision.

📌 Senior Data Engineer (Bengaluru)
🏢 BiTechnologies
📍 Bengaluru