Senior Data Engineer

Job Description

We are seeking a highly motivated and experienced Senior Data Engineer to join our growing data team. In this role, you will be responsible for designing, developing, and maintaining robust and scalable data pipelines to support our data-driven initiatives. You will leverage your strong Python programming skills and deep understanding of data engineering principles to build efficient and reliable data solutions. Responsibilities: Design, develop, and maintain data pipelines for data extraction, transformation, and loading (ETL/ELT) processes. Write clean, efficient, and well-documented Python code for data processing and automation. Build and optimize data models and schemas for efficient data storage and retrieval. Collaborate with data scientists and analysts to understand their data requirements and provide data solutions. Monitor and troubleshoot data pipeline performance and ensure data quality. Implement data governance and security best practices. Contribute to the development of data engineering standards and best practices. Stay up-to-date with the latest data engineering technologies and trends. Optimize existing data pipelines for performance and scalability. Participate in code reviews and contribute to a collaborative development environment. Mandatory Skills: 5-8 years of experience in Data Engineering. Expert-level proficiency in Python programming. Strong understanding of data engineering principles and best practices. Experience with data modelling and schema design. Experience with data extraction, transformation, and loading (ETL/ELT) processes. Proven ability to write clean, efficient, and maintainable code. Ability to work independently and as part of a team. Strong problem-solving and analytical skills. Desirable Skills: Experience building and managing data pipelines. (Numpy, Pandas) some Experience with data warehousing solutions (e.g., Snowflake)