Data Engineer

Data Engineer focuses on build, support, test, or improve systems according to the role and technology stack.

What the role involves

• Build, support, test, or improve systems according to the role and technology stack.
• Work through technical issues carefully and keep delivery, documentation, or support activity organised.

Skills and requirements

• 3+ years of data engineering experience.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, Fire.
• Data stores (object storage, document or key-value stores, graph databases, column-family databases).

Confirmed role details

• Maintain end-to-end automated data pipelines using AWS technologies, SQL, and various APIs.
• Deliver solutions that are secure, maintainable, and capable of handling large-scale data processing while ensuring data quality and integrity.
• Architecture & Design Contribution: Contribute to the design of scalable big data architectures by making sound technical trade-offs within established BAA standards.
• Identify and flag deficiencies in existing systems and propose improvements in collaboration with senior engineers.

Candidate fit

• technical problem-solving, careful delivery, documentation discipline, and clear communication with stakeholders