Visionary Senior Data Engineer

A Bachelors or Masters degree in Computer Science, Data Engineering, Software Engineering, or a related field. Advanced certifications in Data Engineering, Cloud Computing, or Big Data Technologies (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer) are a plus. 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. 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. Implement best practices in data security, governance, and compliance Security & Compliance - Ensure AI solutions comply with industry standards and data privacy regulations.

Are you a data wizard who loves building scalable pipelines and solving complex data challengesAs 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.