Data Engineer II

Key Responsibilities:

• Designs and optimizes scalable and robust data pipelines and workflows to handle large datasets to meet functional and non-functional business requirement
• Implements advanced data processing and scheduling techniques using frameworks like Apache Spark, ADF and Airflow
• Write and optimize advanced SQL queries for reporting and applications
• Ensures data quality, governance, and security through automated testing and monitoring solutions
• Work closely with data scientists, analysts, and other stakeholders to understand data requirements
• Provide technical guidance and mentorship to junior data engineers
• Develop infrastructure to support real-time and batch processing workflows
• Deliver actionable data products and insights for business-critical tools

Education Requirements:

• Bachelor’s degree in computer science, data analytics, statistics, or related field

Required Qualifications:

• 2-5 years of experience in data engineering or a related role
• Proficiency in SQL and experience with database management systems
• Strong programming skills in languages such as Python, Java, or Scala
• Experience with pipelines using orchestration tools such as Apache Airflow or AWS Glue for seamless data ingestion and delivery
• Experience with modern data management technologies (e.g., data lake, lakehouse, data catalogs)
• Experience supporting both batch and streaming data, enabling near real-time analytics and reporting

Preferred Qualifications:

• Familiarity with applying AI and machine learning techniques to data use cases
• Experience creating robust data transformation workflows, including metadata management, dependency tracking, and workload orchestration
• Experience with DBT
• Experience with Microsoft Fabric
• Excellent problem-solving skills and attention to detail
• Strong communication and collaboration skills