We are seeking a highly skilled Senior Data Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing and implementing data solutions using PySpark and Databricks. As a Senior Data Engineer, you will play a crucial role in managing and optimizing our data pipelines, ensuring data quality, and enabling data-driven decision-making across the organization.

Key Responsibilities

- Design, develop, and maintain scalable data pipelines using PySpark and Databricks.
- Collaborate with data scientists and analysts to understand data requirements and deliver high-quality data solutions.
- Optimize data processing workflows for performance and efficiency.
- Monitor and troubleshoot data pipeline issues, ensuring data integrity and availability.
- Implement best practices for data governance and security.




- Stay updated with the latest industry trends and technologies related to data engineering.

Required Skills

- Proficiency in PySpark and experience with Databricks.
- Strong understanding of data modeling, ETL processes, and data warehousing concepts.
- Experience with cloud platforms (e.g., AWS, Azure) is a plus.
- Excellent problem-solving skills and attention to detail.
- Ability to work collaboratively in a quick-paced environment. If you are passionate about data engineering and want to make a significant impact in a growing organization, we encourage you to apply for this exciting opportunity.

Industry

Recruitment Services

Department

Recruitment

📌 Senior Data Engineer (Bengaluru)
🏢 Transcendence Human Resources Private
📍 Bengaluru