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Database Engineer

4 weeks ago

Ahmedabad India Thinkwik Full time

Job Description

We are seeking a Database Engineer with 1 to 3 years of strong expertise in database design, optimization, and management. The ideal candidate will be skilled in architecting scalable, secure, and high-performance databases, ensuring data integrity, and supporting AI-driven applications. You will collaborate closely with our AI/Engineering teams to optimize storage, retrieval, and analytics pipelines, with additional opportunities to work on Azure Databricks for advanced data processing and analytics.

Key Responsibilities

- Design, develop, and maintain scalable database architectures (SQL & NoSQL).
- Optimize database queries, indexing, and performance tuning.
- Ensure data security, compliance, backup, and disaster recovery.
- Build and maintain ETL pipelines to support AI/ML and analytics workflows.
- Leverage Azure Databricks for data processing, integration, and pipeline optimization
- Collaborate with AI engineers on vector databases and RAG pipelines.
- Integrate databases with APIs, CRMs, and external systems.
- Monitor database health, troubleshoot issues, and improve reliability.

Required Skills & Experience

- Strong proficiency with SQL databases (PostgreSQL, MySQL, MSSQL, etc.).
- Experience with NoSQL databases (MongoDB, Cassandra, DynamoDB, etc.).
- Knowledge of vector databases (Pinecone, Weaviate, Chroma, FAISS) is a plus.
- Expertise in database optimization, indexing, and partitioning.
- Solid understanding of ETL processes, data pipelines, and data modeling.
- Experience with cloud database services (AWS RDS, GCP Cloud SQL, Azure SQL).
- Hands-on experience with Azure Databricks for big data analytics and ETL workflows.
- Familiarity with backup, replication, and high availability strategies.
- Strong Python/SQL scripting skills for automation.

Nice-to-Have

- Experience with data warehouses (Snowflake, BigQuery, Redshift).
- Knowledge of streaming data systems (Kafka, Spark).
- Hands-on experience with AI/ML data pipelines.
- Exposure to DevOps for databases (Terraform, Kubernetes, CI/CD for DB).
- Prior work with enterprise-scale databases handling high-volume data.

What We Offer

- Competitive salary & performance-based incentives.
- Opportunity to work on cutting-edge AI-driven data ecosystems.
- Collaborative environment with AI and Data Engineering teams.
- Flexibility in remote work and project ownership.

Location: On-site (Ahmedabad, Gujarat)

Employment Type: Full-time