Senior Data Engineer

Mandatory Skills

• Bachelor’s degree in computer science or related field.
• Bachelor's/Master's degree in Computer Science or related field.
• 3–6 years of experience in Python-based data/backend engineering.
• Strong programming fundamentals — data structures, algorithms, and OOP.
• Experience with AWS services (Kinesis, SQS, Lambda, or similar).
• Experience building and managing data pipelines and workflows (Airflow/DAGs).
• Good understanding of data modelling and databases (RDBMS/NoSQL).
• Experience with Docker and Kubernetes.
• Hands-on experience with GitHub and CI/CD tools like Jenkins.
• Strong Linux fundamentals and debugging skills.
• Good problem-solving ability and attention to detail

Preferred Skills

• Prior experience in working with Product or SaaS Companies.
• Experience with streaming/event-driven architectures.
• Exposure to NoSQL databases (MongoDB, Cassandra).
• Basic understanding of ML pipelines and concepts.
• Familiarity with modern AI concepts (RAG, AI agents, prompt engineering).
• Experience in high-scale, real-time data environments.
• Familiarity with Agile development methodologies
• Equal Opportunity Employer Statement: Netradyne is an equal opportunity employer and are committed to creating an inclusive environment for all employees.
• We are committed to an inclusive and diverse team. Netradyne is an equal-opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status.
• If there is a match between your experiences/skills and the Company's needs, we will contact you directly.
• Netradyne is an equal-opportunity employer.

Recruitment Fraud Alert!