Description

job responsibilities include:

Design, implement, and maintain data models and database schemas across SQL, vector, and unstructured data stores.

Optimize database/query performance (indexing, partitioning, caching) and ensure reliability at scale.

Build and orchestrate scalable ETL/ELT pipelines and data workflows for analytics and application use cases.

Develop full stack features and APIs using Java, Python, and SQL; integrate data services with front end and back-end components.

Enforce data security, privacy, and compliance standards; implement governance, access controls, and auditing.

Integrate and operate big data/warehouse platforms (e.g., Spark, Snowflake, Trino) and vector databases for high volume and semantic retrieval workloads.

Required Qualifications:

Bachelor’s or master’s degree in computer science, Software Engineering, or a related field.

6+ years in software development (data modelling, database design/optimization, full stack) and 3+ years with big data/vector DB/warehouse tech (e.g., Trino, Spark, Snowflake).

Strong proficiency in SQL, Java, and Python, with proven experience designing scalable ETL/data pipelines and secure data architectures.

Hands on expertise with SQL, vector, and unstructured databases; deep understanding of normalization/denormalization, performance tuning, and compliance/security best practices

Key Skills

Education

Any Graduate