Senior Data Engineer

🔥 0 minutes ago

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Ant-Tech

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2016

🔌 API

☁️ SaaS

🤝 B2B

API • SaaS • B2B

Ant-Tech is a French technology company specializing in innovative digital solutions, offering services in design, web development, and mobile app creation. The company focuses on user experience and embraces the latest technology trends to deliver high-quality products customized to client needs. Ant-Tech takes pride in their expertise in project management and support, ensuring that all masterpieces run smoothly and efficiently.

📋 Description

• Design, build, and maintain scalable data pipelines for both real-time and historical data processing. • Develop and optimize databases, data warehouses, and ETL workflows handling large-scale time-series data. • Process and manage high-volume data streams (thousands of records per second). • Collaborate with Product, Customer Success, Installation, and Technical Support teams to ensure data quality and business alignment. • Implement monitoring, alerting, and logging systems to ensure platform reliability. • Support Data Science teams by improving data accessibility and facilitating model deployment. • Troubleshoot and optimize data infrastructure performance.

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field. • 5+ years of experience as a Data Engineer. • Strong experience designing and scaling data infrastructure. • Hands-on experience working with time-series data. • Expert-level SQL skills, especially PostgreSQL and PL/pgSQL. • Ability to analyze and optimize database query execution plans. • Experience with ETL and data pipeline tools such as Airflow, Metaflow, or similar platforms. • Experience with TimescaleDB or other time-series databases. • Strong Python programming skills. • Understanding of data warehousing concepts and best practices.

🏖️ Benefits

• Fully remote working environment. • Opportunity to work with cutting-edge data technologies. • Collaborative international team. • Competitive compensation package. • Performance-based incentives. • Comprehensive benefits package. • Strong focus on learning, development, and career growth. • Flexible and autonomous working culture.