Database/ Senior Database Engineer

Job Description – Senior Database Engineer

JD Version: III || Date: Jan 2026

Veersa Technologies

• Job Title: Senior Database Engineer
• Experience: 5 – 10 Years
• Location: Sector 144, Noida.
• Industry: Software Development | Artificial Intelligence
• Work Type: Full-Time |/Hybrid

About the Role

• We are seeking an experienced and passionate Senior Database Engineer to join our technology team. The ideal candidate will have strong expertise in SQL development including PL/Sql, PostgreSQL, and Python scripting to support data-intensive applications. This role requires designing and optimizing databases, building data pipelines, and studying the customer data models to map/ingest into new products hosted on AWS cloud.

Key Responsibilities

• Design, implement, and optimize PostgreSQL databases for scalability, security, and performance.

• Develop and maintain complex SQL queries, procedures, views, and triggers to support application requirements.

• Write Python or sql scripts for database automation, ETL processes, and data validation.

• Collaborate with product, engineering, and DevOps teams to define database strategies and data models.

• Lead Source system data model study activities, including mapping, transformation, and validation of legacy data to new portals/products.

• Ensure high availability, backup/recovery, and disaster recovery strategies for database environments.

• Monitor and tune performance using database metrics, indexing strategies, and query optimization.

• Ensure compliance with security, privacy, and regulatory standards in handling sensitive data.

Required Qualifications

• Bachelors or Masters degree in Computer Science, Information Systems, or related field.

• 5 to 10 years of professional experience as a Database Engineer/Administrator/Developer.

• Strong knowledge of SQL (PostgreSQL preferred) with proven ability to optimize queries and schema design.

• Hands-on experience with Python

• Good understanding of data modeling, normalization, and relational database design principles.

• Experience in performance tuning (indexes, partitions, query optimization).

Nice to Have

• Experience in data migration projects, especially migrating existing customers to new portals/products.
• Familiarity with ETL tools and frameworks (e.g., Airflow, AWS Glue, dbt).
• Understanding of NoSQL databases (MongoDB, DynamoDB) as a complement to relational systems.
• Knowledge of DevOps practices for CI/CD integration of database changes.
• Experience with database monitoring tools like Prometheus, Grafana, or Datadog.
• Exposure to AWS database services (RDS for PostgreSQL, EC2, S3, IAM, and VPC.).