<div>At SRIM Works, we are at the forefront of technological innovation, transforming enterprises, businesses, and industries around the world.</div><div>As a dynamic multinational technology services company, we specialize in developing cutting-edge products, platforms, and solutions. Our comprehensive expertise encompasses Data &amp; Artificial Intelligence (Data/AI), Engineering Research &amp; Development (ER&amp;D), and Digital Product Engineering Services (PES). By leveraging these capabilities, we drive the future of technological advancements, ensuring our clients stay ahead in an ever-evolving digital landscape.</div><div>Our commitment to excellence and innovation empowers businesses to achieve new heights, making SRIM Works a trusted partner in navigating the complexities of the modern technological world.</div>

SRIM WORKS

<div><strong style="color: rgb(50, 54, 58);">JD – Data Engineer role:</strong></div><div><span style="color: rgb(50, 54, 58);"> </span></div><div><span style="color: rgb(50, 54, 58);">Experience : 3+ Years</span></div><div><span style="color: rgb(50, 54, 58);"> · </span>1. Passion for building quality production systems software and tools. Research is an important component of what we do.&nbsp;</div><div>2. Team players who enjoy working alongside other brilliant people to come up with the best solutions together. Should be comfortable with accepting, giving and applying constructive criticism.&nbsp;</div><div>3. Curiosity and open mindedness are critical. We are building critical infrastructure for institutions to adopt crypto! The problems are challenging, and we need innovators to help solve them!&nbsp;</div><div>Responsibilities&nbsp;</div><div>- Ownership of the end-to-end data engineering component of the solution. - Take decisions on architecture for a scalable data platform&nbsp;</div><div>- Design, build and launch efficient &amp; reliable data pipelines to move and transform data (both large and small amounts).&nbsp;</div><div>- Intelligently design data models for optimal storage and retrieval.&nbsp;</div><div>- Deploy inclusive data quality checks to ensure high quality of data&nbsp;</div><div>- Maintain and scale our data platform to meet our needs, including monitoring, logging, and alerting&nbsp;</div><div>- Improve the platform’s availability, scalability, performance, and security&nbsp;</div><div>- Participate in implementing features, addressing issues, and improving performance - Be the responsible person for data systems&nbsp;</div><div>Must have Requirements/Experience&nbsp;</div><div>- At least 3 years of experience in data engineering or similar role&nbsp;</div><div>- Experience with spark batch-job scripting&nbsp;</div><div>- Experience with spark job tuning (esp. spark-sql optimisations)&nbsp;</div><div>- Have dbtframework experience&nbsp;</div><div>- Knowledge on any job orchestration component (eg: Airflow/StepFunction) - Experience with AWS components (eg: Glue/EMR/StepFunctions/Athena) - Worked with transactional data lake table formats (eg: HUDI/DeltaLake/Iceberg)</div><div>Nice to have Requirements/Experience&nbsp;</div><div>- A genuine interest/exposure in Web3 and/or decentralized technologies. - Experience in data landscape or self-service analytics space (Pipelining/Warehousing/Visualisations).&nbsp;</div><div>- Participation in open source projects (even if it is not to the level of substantial contribution) - Experience on high frequency Time series databases&nbsp;</div><div>- Exposure to making decisions on multi cloud architecture &amp; integration&nbsp;</div><div>- Exposure to Identity &amp; Access Management.</div>