Sr. Data Engineer

Key Responsibilities:

• Design, build, and maintain scalable data pipelines and ETL processes.
  

• Work with large datasets to ensure high data quality, accuracy, and performance.
  

• Develop data solutions leveraging Azure Databricks, PySpark, and SQL.
  

• Collaborate with cross -functional teams including Data Scientists, Analysts, and Product teams to support data -driven initiatives.
  

• Troubleshoot and optimize data workflows to improve reliability and efficiency.
  

• Ensure compliance with best practices in data governance, security, and performance.
  

• Contribute to agile ceremonies and work in a collaborative, fast -paced environment.
  

Required Skills & Qualifications:

• 7–8 years of experience in Data Engineering.
  

• Strong programming skills in Python and SQL.
  

• Hands -on experience with PySpark for large -scale data processing.
  

• Good working knowledge of Azure Databricks.
  

• Strong problem -solving and debugging skills.
  

• Experience in designing and optimizing ETL pipelines.
  

• Knowledge of Agile methodologies (Scrum/Kanban) is a plus.
  

Nice to Have:

• Familiarity with other Azure services such as Data Lake, Synapse, or Data Factory.
  

• Exposure to CI/CD practices and version control systems (e.g., Git).
  

• Experience working in a cloud -first data ecosystem.