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 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:
Bachelor's Degree in Computer Science, Software Engineering, Information Technology, or a related field.
Experience: 3-6 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.

Experience
3-6 yrs