Data Engineer

Data Engineer

Role Overview:

• Design, implement, and optimize data architectures to support large-scale AI and machine learning systems
• Collaborate with cross-functional teams to define data models, APIs, and integration flows
• Architect secure, scalable data pipelines for structured and unstructured data
• Oversee data governance, access controls, and compliance (GDPR, SOC2, etc.)
• Select appropriate data storage technologies (SQL/NoSQL/data lakes) for various workloads
• Work with MLOps and DevOps teams to enable real-time data availability and model serving
• Evaluate and integrate third-party APIs, datasets, and connectors
• Contribute to system documentation and data architecture diagrams
• Support AI researchers with high-quality, well-structured data pipelines

Required Qualifications:

• Bachelors or Masters degree in Computer Science, Data Engineering, or a related field
• 5+ years of experience as a Data Architect, Data Engineer, or in a similar role
• Expertise in designing cloud-based data architectures (AWS, Azure, GCP)
• Strong knowledge of SQL, NoSQL, and distributed databases (PostgreSQL, MongoDB, Cassandra, etc.)
• Experience with big data tools like Spark, Kafka, Airflow, or similar
• Familiarity with data warehousing tools (Redshift, BigQuery, Snowflake)
• Solid understanding of data privacy, compliance, and governance best practices

Preferred Qualifications:

• Experience working on AI/ML or Gen AI-related products
• Proficiency in Python or another scripting language used for data processing
• Exposure to building APIs for data ingestion and consumption
• Prior experience supporting enterprise-level SaaS products
• Strong analytical and communication skills

Travel & Documentation Requirement:

• Candidate must hold a valid passport
• Willingness to travel overseas for 1 week (as part of client collaboration)
• Having a valid US visa (e.g., B1/B2, H1B, Green Card, etc.) is a strong advantage

Why Join Us:

• Work on high-impact, cutting-edge Generative AI products
• Collaborate with some of the best minds in AI, engineering, and product
• Flexible work culture with global exposure
• Opportunity to work on deeply technical challenges with real-world impact