Job summary
Job post source
This job is from a recruiting firm hiring for a separate company.
Job overview
The Senior Data Engineer role involves building and architecting high-performance data systems for an early-stage startup's intelligence platform, impacting how Fortune 100 companies analyze data.
Responsibilities and impact
The role requires designing scalable data pipelines, developing GPU-powered analytics infrastructure, maintaining ETL/ELT processes, and optimizing systems for large-scale data querying and analytics.
Experience and skills
Candidates need 7+ years of industry experience with expertise in distributed data platforms, programming languages like Java, Scala, or Python, data modeling, and SQL; experience with machine learning integration is preferred but optional.
Company information
The company is an early-stage startup focused on building a high-performance intelligence platform using advanced machine learning to provide actionable insights from large datasets.
Application process
Candidates are encouraged to apply via the provided application link or instructions.
Unique job features
The role offers the opportunity to work on a unique GPU-accelerated analytics platform that is innovative and unlike existing solutions in the data analytics space.
Company overview
Harrison Clarke is a specialized recruitment firm focusing on placing elite DevOps and Site Reliability Engineering (SRE) professionals within top-tier technology companies. They make money by connecting highly skilled candidates with organizations in need of their expertise, earning fees for successful placements. Founded with a mission to bridge the talent gap in the tech industry, Harrison Clarke has established a reputation for its deep understanding of the DevOps and SRE landscape, providing tailored recruitment solutions that meet the specific needs of their clients. Their commitment to quality and industry knowledge has positioned them as a leader in this niche market.
How to land this job
Tailor your resume to emphasize your extensive experience with distributed data platforms like Spark, Kafka, and Flink, highlighting your ability to handle petabyte-scale datasets as described in the job posting.
Focus on showcasing your skills in designing and optimizing scalable, low-latency data pipelines and infrastructure, particularly for real-time and batch processing systems, to align with the core responsibilities of the Senior Data Engineer role.
Apply through multiple channels such as Harrison Clarke's official corporate website and LinkedIn to maximize your chances of being noticed by recruiters and hiring managers.
Connect with current employees or team members in Harrison Clarke's data engineering or analytics divisions on LinkedIn; use ice breakers like commenting on the innovative GPU-powered analytics platform they're building or asking about challenges in integrating machine learning with data pipelines.
Optimize your resume for ATS by incorporating key terms from the job description such as 'data pipelines,' 'Spark,' 'Kafka,' 'real-time processing,' 'ETL/ELT,' 'GPU-powered analytics,' and 'SQL' to ensure it passes automated screenings effectively.
Use Jennie Johnson's Power Apply feature to automate applying through multiple platforms, tailor your resume with the right keywords, and identify LinkedIn contacts for networking, allowing you to focus your time on preparing for interviews and improving your technical skills.
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