As a Senior Data Engineer at ParallelDots, you will be responsible for overseeing the design and development of advanced data solutions. You will work closely with data scientists, analysts, and other stakeholders to ensure that our data infrastructure meets the highest standards of scalability, reliability, and performance.
-Lead the design, implementation, and maintenance of complex data pipelines and architectures.
-Mentor junior data engineers and oversee their contributions to projects.
-Collaborate with data scientists and analysts to optimize data models and queries for performance.
-Develop and implement data governance and security protocols.
-Evaluate new technologies and tools to extend or improve our data platforms.
-Work closely with the CTO and other senior leaders to align data engineering projects with business objectives.
-Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
-Minimum of 5-7 years of experience in data engineering.
-Expertise in big data technologies like Spark, and Kafka.
-Strong programming skills in Python
-Proven experience in designing and implementing real-time data solutions.
-Excellent leadership and communication skills.
2 Technical Rounds
1 Take Home Assignment
Full time payroll
Machne learning developer
Our R&D team is focused on creating the most effective engine for deploying generative AI models, with efforts ranging from precise GPU kernel fine-tuning to comprehensive system optimizations.
We're looking for an expert level engineer with a strong background in either CUDA, ROCm, or Triton kernel optimization. Your role will involve leading substantial improvements in GPU performance and playing a key role in pioneering AI and machine learning initiatives.
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