Data Engineer • Mid-Level

Who you are

You have at least 4 years of experience in data engineering, demonstrating ownership of complex data systems and a strong understanding of data mesh principles and decentralized data architecture. Your technical background includes solid experience with AWS data lake technologies such as S3, Glue, Lake Formation, Athena, and Redshift, which you have utilized to build and maintain scalable data solutions.

You are skilled in designing and optimizing ETL/ELT pipelines, particularly using AWS Glue and PySpark, ensuring high-performance data processing across platforms. Your experience also includes implementing AWS DMS pipelines to replicate data into Aurora PostgreSQL for near real-time analytics and reporting. You are committed to supporting data governance, quality, and observability, and you understand the importance of API design best practices.

What you'll do

In this role, you will contribute to the design and implementation of a data mesh architecture, working closely with product, engineering, and analytics teams to deliver robust, reusable data solutions. You will design and build domain-oriented data products that support near real-time reporting, ensuring that the data platform evolves effectively.

You will be responsible for building and maintaining a modern AWS-based data lake, leveraging services like S3, Glue, Lake Formation, Athena, and Redshift to optimize data storage and retrieval. Your role will also involve developing and optimizing ETL/ELT pipelines to support both batch and streaming data workloads, ensuring that the data infrastructure is scalable and efficient.

Collaboration will be key as you work with cross-functional teams to implement automation and CI/CD practices for data infrastructure and pipelines. You will stay current with emerging technologies and industry trends, helping to evolve the platform and enhance its capabilities.

What we offer

Suvoda provides a dynamic work environment where innovation is encouraged, and your contributions will have a direct impact on the company's data strategy. You will have the opportunity to work with cutting-edge technologies and be part of a team that values collaboration and continuous learning. We encourage you to apply even if your experience doesn't match every requirement, as we believe in the potential of diverse backgrounds and perspectives.