Database Developer

Key Responsibilities :

Design, develop, and maintain

relational and non-relational databases

to support business applications.

Write and optimize

SQL queries, stored procedures, triggers, and functions

for high performance.

Collaborate with software developers to design

database schemas ,

data models , and

integrations .

Ensure

data integrity, accuracy, and consistency

across systems.

Monitor and tune database performance, including

indexing, query optimization, and partitioning .

Assist in

database design for new applications

and ensure adherence to best practices.

Implement and manage

data migration ,

ETL processes , and

data integration pipelines .

Work with DBAs on

backup and recovery ,

security management , and

user access controls .

Support

testing, debugging, and deployment

of database components.

Document database designs, architecture decisions, and procedures.

Stay updated with

emerging database technologies

and recommend improvements.

Required Skills & Qualifications :

Bachelor’s degree in

Computer Science, Information Systems, or a related field .

Strong proficiency in

SQL

and

PL / SQL

programming.

Experience with

relational databases

(e.g., MySQL, PostgreSQL, Oracle, SQL Server).

Familiarity with

NoSQL databases

(e.g., MongoDB, Cassandra, DynamoDB) is a plus.

Solid understanding of

database design principles ,

normalization , and

data modeling .

Knowledge of

ETL tools

(Informatica, Talend, SSIS) or

data integration frameworks .

Experience with

cloud databases

such as

AWS RDS, Azure SQL, or Google Cloud SQL .

Understanding of

performance tuning ,

indexing strategies , and

query optimization .

Strong analytical, problem-solving, and communication skills.

Preferred Qualifications :

Certifications such as :

Microsoft Certified : Azure Database Administrator Associate

Oracle Certified Professional (OCP)

AWS Certified Database – Specialty

Experience with

data warehousing ,

data lakes , or

business intelligence systems .

Familiarity with

CI / CD pipelines

for database deployment and version control (e.g., Liquibase, Flyway).

Knowledge of

Python, R, or other scripting languages

for data automation tasks.

Exposure to

big data platforms

(Hadoop, Spark, Snowflake, Redshift).