Senior Database Engineer

About the Job-

• Position:

  Database Engineer/Senior Database Engineer

• Experience:

  3 to 8 years

• Location:

  Sector 142, Noida

• Job Type:

  Full-time

• Work Mode:

  On-site / Hybrid

About the Role-

We are seeking an experienced and passionate Database Engineer/Senior Database Engineer to join our technology team. The ideal candidate will have strong expertise in SQL development, PostgreSQL administration, and Python scripting to support data-intensive applications. The role requires designing and optimizing databases, building data pipelines, and ensuring seamless migration of customer data into new product 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.
• Support 

  data migration 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.
• Deploy and manage databases in 

  AWS environments

   (postgres, S3, etc.).
• 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.

• 3 to 8 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

   for database scripting and automation.
• Good understanding of 

  data modeling, normalization, and relational database design principles

  .
• Experience in 

  performance tuning

   (indexes, partitions, query optimization).
• Exposure to 

  AWS database services

   (RDS for PostgreSQL, EC2, S3, IAM, and VPC.).

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.