• Bachelor’s or Master’s in Computer Science, Computer Engineering, or related field
• 15+ years of non-internship professional experience in software engineering, with at least 5+ years in data engineering
• 10+ years of experience in design, development, delivery and supporting distributed systems using Java, Spring, Spring Boot, Microservices, RESTful and GraphQL APIs
• 4+ years’ experience in developing and maintaining applications using Spark frameworks with strong programming skills in Python, Scala, and Spark ecosystem
• Expertise in processing and analyzing large-scale datasets
• Knowledge of Object-Oriented Design, data structures, and algorithms
• Experience with cloud platforms like AWS, GCP or Azure and their data services
• Strong knowledge of data fabric concepts (data virtualization, metadata-driven orchestration, semantic layers)
• Experience with near real-time data processing, stream-based integrations, and data serialization formats
• Experience with data modelling, and an understanding of common information models
• 5+ years’ experience in Agile practices, building software in enterprise environment, with 1+ years in applied Gen AI or LLM-based solutions
• Experience with modern data analytics and AI/ML integration (SageMaker, Tableau, Snowflake Spectrum)
• Hands-on experience with CI/CD pipelines and modern DevOps/DataOps practices, including Git, Terraform, Jenkins, Pipelines, and Containerization
• Experience in designing, implementing, and maintaining scalable data pipelines and ETL/ELT processes to support enterprise reporting and analytics needs
• Experience in Data Governance discipline including Master Data Management, Data Quality Management, Metadata management, Lineage, and cataloging
• Experience with OAuth Implementation, API Management, Service Mesh, Active-MQ implementations (Queue/Topic) and Schedulers for batch jobs.
• Experience in database systems (RDBMS, GraphDB, Advanced SQL proficiency, MongoDB), Object storage (S3, Blob), Caching (Redis), and DataMart’s
• Experience solving complex problems, especially in algorithm-heavy or data intensive applications
• Knowledge in building RAG systems, data ingestion pipelines, and embedding-driven retrieval systems
• Excellent communication skills with ability to translate technical concepts to various audiences
• 7+ years in leadership roles managing cross-functional engineering teams including both data engineers and software engineers
• Proven experience influencing business outcomes through technical solutions
• Strong people skills to influence and engage stakeholders across all levels without direct authority
• Excellent problem solving, design thinking, and decision-making skills

Privacy & Consent:  
By applying to this role, you consent to Aspirecruit processing your personal information for recruitment purposes in accordance with our Privacy Policy.

Equal Opportunity Employer:  
Aspirecruit Inc. is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and do not discriminate based on race, religion, gender, age, disability, or any other protected status.