Senior Data Engineer

Responsibilities:

• Design, build, and maintain efficient and scalable data pipelines that collect, transform, and load data.
• Develop the logical data model and physical data models, including data warehouse designs.
• Monitoring and Maintenance: Implement monitoring and alerting systems to ensure data pipeline reliability, and perform routine maintenance tasks.
• Work with upstream and downstream teams to ensure end-to-end execution of the data pipelines.
• Help set up processes and streamline workflows to help in the expansion of the team and collaborate with other teams.
• Optimize data processing and storage solutions for efficiency and scalability, working with large volumes of data.

Requirements:

• Should have worked on the Data Platform.
• Should have 2-5 years of experience working on ETL pipelines.
• Strong programming skills in Python for data manipulation and transformation.
• Should have in-depth knowledge of a NoSQL or relational database.
• Should be able to model data in them.
• Should have experience with workflow management tools like Apache Airflow.
• Should help the team with all phases of development, including design, implementation, and operation of production systems.
• Should know what good code looks like and be able to write the same.
• Should have a solid understanding of object-oriented design and concepts.
• Should be able to deal well with ambiguous/undefined problems.
• Understanding of data security and privacy principles.