Senior Data Platform Engineer
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Job Location:
Monthly Salary:
Posted on:
18 hours ago
Vacancies:
1 Vacancy
Job Summary
Who We Are & Why Join Us
Avathon is revolutionizing industrial AI with a powerful platform that enables businesses to harness the full potential of their operational data. Our technology seamlessly integrates and contextualizes siloed datasets providing a 360-degree operational view that enhances decision-making and efficiency. With advanced capabilities like digital twins natural language processing normal behavior modeling and machine vision we create real-time virtual replicas of physical assets enabling predictive maintenance performance simulation and operational optimization. Our AI-driven models empower companies with scalable solutions for anomaly detection performance forecasting and asset lifetime extensionall tailored to the complexities of industrial environments.
Cutting-Edge AI Innovation Join a team at the forefront of AI developing groundbreaking solutions that shape the future.
High-Growth Environment Thrive in a fast-scaling startup where agility collaboration and rapid professional growth are the norm.
Meaningful Impact Work on AI-driven projects that drive real change across industries and improve lives.
Learn more at: Avathon
Position Summary:
Avathons Industrial AI Suite is the worlds leading AI enabled SaaS platform that provides asset performance management and prescriptive analytics software to ever growing Aviation Manufacturing Mining Renewable and Oil & gas energy power plants by combining the power of machine learning big data and deep domain expertise. Our Data Engineering and Science platform works across multiple capital intensive industrial asset types to offer insights to our customers.
Join us in developing and applyingcutting-edgeEnterprise Data Engineering solutions for commercial and industrial AI SaaS applications. We are looking for candidates with strongexpertiseinlarge scale Data Engineering building scalable ETL pipelines to enable our AI enabled Saas Asset Performance Management. As a Senior Data platform Engineer you will be working closely with team members across domains with deep technical skills and Industrial AI domain.
What you will do:
- Work on engineering projects to design construct install test and maintain highly scalable data management systems (data lakes warehouses pipelines) to ensure secure efficient data flow and accessibility for analytics and AI/ML
- Building robust ETL pipelines and automating data workflows. Focus on automating data management implementing DevOps principles (CI/CD monitoring) and collaborating on data architecture.
- Utilise Key tools include Python SQL Cloud platforms (AWS/Azure/GCP) Kafka Spark and Docker.
- Developing and maintaining scalable ETL and MLOps pipelines and workflows.
- Enforcing data quality rules to ensure consistency completeness and accuracy across ETL processes.
- Designing constructing testing and maintaining highly scalable data management systems.
- Mentoring a team of Data Analysts Data Engineers and Data Quality Specialists.
- Fostering a culture of continuous learning collaboration and data-driven decision-making.
Youll have:
- Excellent programming skills in Python along with deep expertise in relational databases (MSSQL/MySQL/Postgres).
- 5 years of hands-on experience in data engineering with a solid foundation in architecture principles.
- 1 years of leadership or mentorship experience of data teams.
- Strong understanding of serverless architectures and building scalable ETL pipelines.
- Effective communication and leadership skills capable of driving projects to completion.
- People and project management experience is a plus.
It would be great if you had:
- Experience in Industrial Engineering Systems like IoT time series data or even old legacy systems e.g. PLC SCADA systems.
- Experience with cloud-native tools particularly AWS or GCP.
- Willingness to adopt new technologies to enhance data quality and ETL processes.
- Hands-on experience in DevOps focusing on cloud-native technologies.
- Expertise in debugging and troubleshooting ETL pipelines data transformations and integrity issues.
Other requirements:
This is 5 days onsite work week schedule
A design/ coding challenge is a prerequisite for this position.
Avathon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin age pregnancy genetic information disability status as a protected veteran or any other protected category under applicable federal state and local laws.
Avathon is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation please contact us to discuss how we can assist you.
Required Experience:
Senior IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
Avathon bridges legacy infrastructure with autonomous systems. Learn how to maximize asset life, enhance safety, and optimize performance with our AI platform.
