Data Engineer

You’ll Make a Difference By

• Designing, building, and maintaining scalable data products and data infrastructure on AWS

• Developing robust data pipelines using AWS-native services and integrating data across multiple application silos

• Supporting the automation, deployment, and operation of AI/ML workflows

• Defining data ingestion strategies, data formats and schemas, metadata/catalog integrations, federated data access, and end-to-end data product creation

• Enabling advanced analytics, AI/ML, and data-driven use cases by designing efficient data-access patterns and tooling (including support for LLM context engineering)

• Collaborating closely with Data Scientists, ML Engineers, and Product teams to translate business needs into scalable data solutions

• Actively participating in design discussions, technical reviews, and cross-team collaboration forums.

Advertisment

You’ll Win Us Over By

• Holding a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline

• Having 3+ years of hands-on experience working with data at scale

• Strong programming skills in Python and SQL

• Strong understanding of databases (SQL and NoSQL), complex SQL queries and their performance across large, distributed databases.

• Experience in building and maintaining data pipelines

• Proven experience in building and maintaining CI/CD pipelines

• Solid understanding of SQL and NoSQL databases, complex SQL queries, and performance optimization across large, distributed systems

• Practical experience with Apache Spark (preferably PySpark)

• Clear communication skills and the ability to capture and define technical requirements effectively.

Advertisment

You’ll Stand Out If You Have

• Experience with TypeScript and/or JavaScript

• Working knowledge of databases such as PostgreSQL, DynamoDB, or similar technologies

• Strong collaboration experience with Data Scientists and Machine Learning Engineers

• Interest or hands-on exposure to MLOps and the AI product lifecycle

• Domain experience (or strong willingness to learn) in IoT, time-series data, automation systems, digital twins, or smart buildings technologies.

• Experience with Infrastructure as Code (ideally CDK, CloudFormation, Terraform) and cloud-native technologies in AWS (e.g. Lambda, Athena, Glue, SageMaker, S3, etc.)

• Experience with tools like EMR, Snowflake , AWS Glue

We’ll Support You With

• Flexible and hybrid working opportunities

• A diverse, inclusive, and collaborative culture

• Continuous learning and development opportunities

• An attractive and competitive compensation package.

Advertisment