Key Responsibilities: Monitor and maintain data pipeline reliability , including logging, alerting, and troubleshooting failures. Good knowledge on Artificial Intelligence and Machine learning Design, develop, and optimize relational and NoSQL databases for diverse applications, including AI and large-scale data processing. Build and manage ETL/ELT pipelines to ensure efficient data processing and transformation. Optimize database performance for high-availability applications, reporting, and analytics . Implement data partitioning, indexing, and sharding strategies for scalability. Ensure data integrity, governance, and security across multiple applications. Collaborate with teams to streamline data access, model storage, and training workflows when applicable. Develop SQL queries, stored procedures, and views for efficient data retrieval. Monitor and troubleshoot database performance, bottlenecks, and failures . Required Skills & Qualifications: Strong SQL expertise (writing complex queries, optimization, stored procedures, indexing). Experience with relational databases (PostgreSQL, SQL Server) and NoSQL databases (MongoDB, Redis). Knowledge of AI-related database optimizations , such as vector databases (e.g., Pinecone, FAISS, Weaviate) for embedding storage and retrieval is a plus. Experience working with enterprise data workflows , including data modeling and architecture. Dimensional Modeling / Data Warehousing : Experience with dimensional modeling (star/snowflake schemas) and data warehousing concepts (e.g., Kimball, Inmon). Metadata Management & Data Catalogs : Familiarity with metadata management, data catalogs, or data lineage tools (e.g., Alation, Data Catalog in GCP, AWS Glue Data Catalog). Hands-on experience with cloud platforms (AWS, Azure, GCP) and cloud-based data storage solutions. Familiarity with big data technologies (Spark, Hadoop, Kafka) is a plus. Strong Python or SQL scripting skills for data manipulation and automation. Knowledge of data security, privacy regulations (GDPR, CCPA), and compliance standards . Unit / Integration Testing : Experience with testing data pipelines, including unit and integration testing for transformations. Documentation : Strong documentation practices for pipelines, database schemas, and data governance processes. Excellent problem-solving skills and ability to collaborate with cross-functional teams . Experience with workflow orchestration tools like Apache Airflow or Prefect. Preferred Qualifications: Experience with vector databases and retrieval-augmented generation (RAG) workflows. Understanding of AI model storage, caching, and retrieval from databases when applicable. Experience in machine learning model feature engineering and ML model versioning . Experience with containerization technologies like Docker or Kubernetes for deploying data solutions. Data Quality and Observability Tools : Experience with tools or frameworks for data quality checks, validation, and data observability (e.g., Great Expectations, Monte Carlo, Databand). Role & responsibilities Preferred candidate profile

Role & responsibilities Develop and maintain web applications using .NET 6.0, C#, Web API, and Entity Framework Core. Design and implement database solutions using SQL Server and PostgreSQL. Build and maintain scalable microservices architectures. Utilize CI/CD pipelines to automate testing, deployment, and monitoring. Develop front-end components using ReactJS. Containerize applications using Docker for seamless deployment across environments. Leverage AWS services for cloud-based solutions. Collaborate with cross-functional teams to define, design, and ship new features. Participate in code reviews, ensuring high-quality code and adherence to best practices. Maintain version control using GitHub. Preferred candidate profile Bachelors degree in computer science, Engineering, or a related field. 5-8 years of professional experience in software development. Strong proficiency in .NET 6.0, C#, Web API, and Entity Framework Core. Experience with SQL Server and PostgreSQL databases. Solid understanding of microservices architecture. Hands-on experience with CI/CD pipelines and tools. Proficiency in front-end development using ReactJS. Experience with Docker for containerization. Exposure to AWS services and cloud-based development. Strong understanding of version control systems, particularly GitHub. Excellent problem-solving skills and attention to detail. Strong communication and teamwork skills. Perks and benefits 100% Company paid comprehensive medical insurance for you, your spouse, and children Paid time off Market competitive total compensation package Paid Maternity & Parental leave Your voice is heard; no matter your level, we're a team, all going in the same direction

Develop and maintain web applications using .NET 6.0, C#, Web API, and Entity Framework Core. Design and implement database solutions using SQL Server and PostgreSQL. Build and maintain scalable microservices architectures. Utilize CI/CD pipelines to automate testing, deployment, and monitoring. Develop front-end components using ReactJS. Containerize applications using Docker for seamless deployment across environments. Leverage AWS services for cloud-based solutions. Collaborate with cross-functional teams to define, design, and ship new features. Participate in code reviews, ensuring high-quality code and adherence to best practices. Maintain version control using GitHub.