We are seeking a Senior Data Engineer to join our agile team. The ideal candidate will have a strong background in data engineering, with a focus on utilizing PySpark and SQL to manage and analyze large datasets. As a Senior Data Engineer, you will play a crucial role in designing and implementing data pipelines, ensuring data quality, and optimizing data workflows to support our analytics and business intelligence initiatives.

Key Responsibilities:
Design, develop, and maintain scalable data pipelines using PySpark to process large volumes of data efficiently.
Collaborate with data scientists and analysts to understand data requirements and deliver high-quality datasets for analysis.
Write complex SQL queries to extract, transform, and load (ETL) data from various sources into data warehouses.
Monitor and troubleshoot data pipeline performance, ensuring timely delivery of data to stakeholders.
Implement best practices for data governance and security,



ensuring compliance with data privacy regulations.
Stay updated with the latest trends and technologies in data engineering and contribute to continuous improvement initiatives within the team.

Required Skills:
Proficiency in PySpark for big data processing.
Strong SQL skills for data manipulation and querying.
Experience with data warehousing concepts and ETL processes.
Familiarity with cloud platforms and data storage solutions is a plus.
Excellent problem-solving skills and attention to detail.
Strong communication skills to collaborate effectively with cross-functional teams.

If you are passionate about data engineering and looking to make a significant impact in a fast-paced setting, we encourage you to apply for this exciting chance.

📌 Senior Data Engineer Bengaluru (India)
🏢 Alphacom Systems and Solutions
📍 India