Python Data Engineer

We are on the lookout for a skilled Python Data Engineer to join our innovative team. As a Python Data Engineer, you will be instrumental in crafting and managing scalable data pipelines and infrastructure, enabling us to extract valuable insights from our data assets. You’ll collaborate closely with diverse teams to grasp data requirements, architect robust data models, and implement efficient solutions. Proficiency in Python programming is a must, complemented by hands-on experience with leading data processing frameworks like Apache Spark or Pandas. Moreover, familiarity with cloud platforms such as AWS or Azure and adeptness in database systems like SQL and NoSQL will be advantageous.

Responsibilities:

• Architect, build, and maintain scalable data pipelines and infrastructure utilizing Python.
• Partner with cross-functional teams to comprehend and address data requirements effectively.
• Design and implement data models and schemas tailored to our business objectives.
• Develop and optimize data processing algorithms and workflows leveraging tools like Apache Spark or Pandas.
• Fine-tune data pipelines for optimal performance, reliability, and scalability.
• Proactively monitor and troubleshoot data pipeline issues to uphold data quality and integrity.
• Collaborate closely with data scientists and analysts to cater to their data needs efficiently.
• Stay abreast of emerging technologies and best practices in the realm of data engineering.

Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field