Python / Data Engineer

We are looking for a Python/Data Engineer with 3 to 5 years of experience to join our team. The ideal candidate will be responsible for designing, building, and optimizing data pipelines, ensuring efficient data flow across various systems.

Key Responsibilities:

• Develop and maintain scalable ETL pipelines using Python.
• Work with large datasets and ensure data integrity, accuracy, and efficiency.
• Optimize data storage, retrieval, and processing performance.
• Collaborate with cross-functional teams to understand data requirements.
• Implement Lambda functions and micro-services for seamless data processing.
• Ensure best practices in data engineering, including security and compliance.

Requirements:

• Strong experience in Python and SQL for data processing and analysis.
• Hands-on experience with big data technologies like Spark, Hadoop, or similar frameworks.
• Proficiency in database systems like PostgreSQL, MySQL, or NoSQL databases.
• Experience with cloud platforms such as AWS, GCP, or Azure.
• Familiarity with Tableau, Power BI, or similar reporting tools.
• Knowledge of Lambda functions and micro-services architecture.
• Strong problem-solving skills and ability to work independently.