Data Engineer

Persistent is actively seeking an experienced Databricks Data Engineer to join our dynamic team. This role is perfect for a seasoned professional with a strong background in data engineering, ready to contribute to cutting-edge projects within a fast-paced environment. As a Databricks Data Engineer, you will be instrumental in designing, developing, and maintaining scalable data pipelines and solutions.

Key Responsibilities

• Design, build, and optimize data pipelines and architectures using Databricks.
• Develop and implement robust ETL processes for various data sources.
• Write high-quality, efficient code using Python, PySpark, and SQL.
• Ensure data quality, integrity, and security across all data solutions.
• Collaborate with cross-functional teams to understand data requirements and deliver effective solutions.
• Monitor and troubleshoot data infrastructure and applications to ensure optimal performance.
• Stay updated with the latest trends and technologies in data engineering and Databricks.

Requirements

• Minimum of 6 years of experience as a Data Engineer, specifically with Databricks.
• Proficiency in Python, PySpark, and SQL for data manipulation and analysis.
• Demonstrated experience in designing and building scalable data solutions.
• Strong understanding of data warehousing concepts and data modeling.
• Ability to work independently and as part of a collaborative team.
• Excellent problem-solving skills and attention to detail.
• Immediate availability to join the team.

What We Offer

• Opportunity to work on challenging and innovative data engineering projects.
• Collaborative and supportive work environment.
• Professional growth and development opportunities.
• Competitive compensation package.