Senior Data Engineer

About Us

Neuralix.ai is an award-winning AI solutions provider specializing in innovative technologies for diverse industries. Our data lifecycle templates empower industries to achieve rapid ROI by optimizing operations through AI-driven analytics. Our team is made up of AI researchers, engineers, and innovators who are dedicated to solving real-world challenges through next-generation technology.

At Neuralix.ai, we are committed to scalability, efficiency, and innovation, and we are seeking exceptional talent to help us design and build world-class data engineering solutions that shape the future of intelligent systems.

About the Role

As a Data Engineer at Neuralix.ai, you will play a crucial role in designing and implementing high- performance, scalable data architectures that power our AI-driven solutions. You will work with cutting-edge technologies, optimize real-time and batch data processing, and collaborate with cross- functional teams to ensure seamless data flow. This role is perfect for those who thrive in a fast-paced, innovative environment and are eager to push the boundaries of data engineering.

What Youll Do

• Architect and optimize high-performance data pipelines for structured and unstructured data.
• Design scalable ETL workflows that fuel our AI/ML models and business intelligence systems.
• Engineer cloud-native data infrastructure on AWS, GCP, or Azure to handle massive datasets.
• Build and maintain data lakes, warehouses, and real-time data streaming solutions.
• Optimize query performance and database architectures for lightning-fast insights.
• Automate workflows using orchestration tools like Airflow, Luigi, or Prefect.
• Collaborate with data scientists, analysts, and engineers to unlock the full potential of data.
• Security & Compliance Ensure AI solutions comply with industry standards and data privacy regulations.
• Implement best practices in data security, governance, and compliance.

What Makes You a Great Fit?

• 3-7 years of hands-on experience in data engineering or a related field.
  Strong expertise in Python, SQL, and distributed data frameworks (Spark, Hadoop, Kafka).
• Deep understanding of data modeling, warehousing (Snowflake, Redshift, BigQuery), and schema design.
• Experience with both relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, Cassandra).
• Solid knowledge of real-time and batch data processing (Kafka, Flink, Spark Streaming).
• Passion for automation, CI/CD, and infrastructure-as-code (Terraform, Docker, Kubernetes).
• Ability to troubleshoot and optimize complex data workflows.
• A problem-solving mindset with a love for tackling large-scale data challenges.
  

Why Join Neuralix.ai?

• Work at the forefront of AI & infrastructure innovation.
• Opportunity to work on high-performance AI workloads & cutting-edge hardware. 📈 Career growth in a rapidly scaling AI startup.
• Innovative culture with a focus on problem-solving and next-gen AI solutions.
• Ready to build and optimize world-class AI infrastructure? Apply now and be part of the future of AI!