Senior Data Engineer

Senior Data Engineer- Immediate joiners only

We are looking for an experienced Senior Data Engineer with 3+ years of experience to join our team. The candidate will be a key member of our data engineering team, responsible for developing and optimizing scalable data pipelines, ensuring data integrity, and providing a robust infrastructure that serves as the foundation for all data-driven activities.

We are expecting from Senior Data Engineer:

• 3 to 6 years of experience required for this position
• Design, develop, and maintain data pipelines to extract, transform, and load data from various sources into a centralized data store.
• Create and maintain scalable data infrastructure, including databases, data warehouses, and other storage and processing systems.
• Ensure data pipelines and infrastructure are optimized for efficiency and can handle large volumes of data without compromising performance.
• Enforce data validation, verification processes, and security measures like encryption and access controls to ensure the accuracy, completeness, and security of data.
• Work closely with data scientists, analysts, and business stakeholders to understand data needs and develop solutions to support their analytical and operational needs.
• Provide technical guidance and mentorship to junior data engineers, fostering a collaborative learning environment.
• Create comprehensive documentation for data infrastructure and processes, ensuring they are understandable and maintainable by other team members.
• Continuously explore emerging technologies and best practices in data engineering to keep the team and the organization at the cutting edge.

Preferred candidate profile:

• Strong hands-on experience with Azure Databricks.
• Proficiency in SQL for data extraction and manipulation.
• Programming experience in Python.
• Strong problem-solving and analytical skills with a proven ability to optimize data architecture.
• Experience in developing solutions that support high-volume data processing and real-time analytics.
• Excellent communication and collaboration skills, capable of working with cross-functional teams in a dynamic environment.
• Ability to translate complex data engineering concepts into actionable insights for stakeholders.

Education:

• BE/BTech in Computer Science, Data Engineering, or a related field, or equivalent experience.