Skills

Must have

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.).

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.

Database/ Senior Database Engineer

Compensation

Not disclosed

Location

Noida, Uttar Pradesh, India

Work setup

Not specified

Seniority

Senior

Employment

Full time

Experience

5+ years

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.).

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.