[Hiring] Data Engineer @Srim Works

Role Description

We are looking for a passionate Data Engineer with a strong commitment to building quality production systems software and tools. Research is an important component of what we do.

• Team players who enjoy working alongside other brilliant people to come up with the best solutions together.
• Comfortable with accepting, giving, and applying constructive criticism.
• Curiosity and open-mindedness are critical; we are building critical infrastructure for institutions to adopt crypto.
• Innovators are needed to help solve challenging problems.

Responsibilities

• Ownership of the end-to-end data engineering component of the solution.
• Take decisions on architecture for a scalable data platform.
• Design, build, and launch efficient & reliable data pipelines to move and transform data (both large and small amounts).
• Intelligently design data models for optimal storage and retrieval.
• Deploy inclusive data quality checks to ensure high quality of data.
• Maintain and scale our data platform to meet our needs, including monitoring, logging, and alerting.
• Improve the platform’s availability, scalability, performance, and security.
• Participate in implementing features, addressing issues, and improving performance.
• Be the responsible person for data systems.

Requirements

• At least 3 years of experience in data engineering or similar role.
• Experience with spark batch-job scripting.
• Experience with spark job tuning (especially spark-sql optimizations).
• Have dbt framework experience.
• Knowledge on any job orchestration component (e.g., Airflow/StepFunction).
• Experience with AWS components (e.g., Glue/EMR/StepFunctions/Athena).
• Worked with transactional data lake table formats (e.g., HUDI/DeltaLake/Iceberg).

Nice to have Requirements/Experience

• A genuine interest/exposure in Web3 and/or decentralized technologies.
• Experience in data landscape or self-service analytics space (Pipelining/Warehousing/Visualisations).
• Participation in open source projects (even if it is not to the level of substantial contribution).
• Experience on high frequency Time series databases.
• Exposure to making decisions on multi-cloud architecture & integration.
• Exposure to Identity & Access Management.