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 the workflows to help in the expansion of the team, and collaborate with the other teams.
• Optimise data processing and storage solutions for efficiency and scalability, working with large volumes of data.
• Understanding of modern data technologies like Spark, Flink, Iceberg, Parquet, etc.

Requirements:

• Education: Bachelor's Degree in Computer Science, Software Engineering, Information Technology, or a related field.
• Experience: 3-6 years of experience working on ETL pipelines. Key Skills:

Technical Skills:

• 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.