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Ardent SoftSol Inc.

Database Developer

Toronto, ON, Canada

Job type: Contract
Apply by: Oct 30, 2026
Experience: 8+ years of experience in database development, with a strong focus on Oracle, Cassandra, and Spark.
Posting language: English
Posted: Sep 30, 2026

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Original job description

Job Title: Database Developer

Location: Toronto, Ontario (Onsite)

Mode: Contract

Role Overview

The Senior Oracle, Cassandra, and Spark Database Developer is a highly skilled and experienced professional responsible for designing, developing, implementing, and maintaining database solutions across multiple platforms, including Oracle, Cassandra, and Spark. This role requires a deep understanding of relational and NoSQL database technologies, data warehousing principles, and big data processing frameworks. The Senior Developer will collaborate with data architects, data scientists, and application developers to build robust, scalable, and high-performance data solutions that meet the organization's business needs.

Key Responsibilities:

Design and develop database schemas, tables, stored procedures, functions, and other database objects for Oracle, Cassandra, and Spark environments.
Develop logical and physical data models that meet business requirements and ensure data integrity, consistency, and performance.
Design, develop, and implement ETL (Extract, Transform, Load) processes to move data between different database platforms and data sources, using tools like Apache Spark, Apache NiFi, or Oracle Data Integrator.
Optimize database performance by identifying and resolving performance bottlenecks, tuning queries, and implementing indexing strategies.
Write complex SQL queries and NoSQL queries (CQL) to retrieve, manipulate, and analyze data.
Develop Spark applications using Python to process large datasets and perform data analytics.
Design and implement data warehousing solutions using Oracle, Cassandra, and Spark, following best practices for data modeling, ETL, and reporting.
Implement data security measures to protect sensitive data, including encryption, access control, and auditing.
Collaborate with data architects, data scientists, application developers, and other stakeholders to understand business requirements and develop appropriate data solutions.
Create and maintain technical documentation for database designs, ETL processes, and other data-related solutions.
Stay up to date with the latest trends and technologies in database development, data warehousing, and big data processing.

Qualifications:

Bachelor's or master’s degree in computer science, Engineering, or a related field.
8+ years of experience in database development, with a strong focus on Oracle, Cassandra, and Spark.
Expert-level knowledge of Oracle database architecture and development, including SQL, PL/SQL, and performance tuning.
Strong understanding of Cassandra NoSQL database, including data modeling, CQL, and cluster administration.
Proficiency in Apache Spark, including Spark SQL, Spark Streaming, and Spark MLlib.
Experience with ETL tools and techniques.
Solid understanding of data warehousing principles and best practices.
Experience with data modeling tools and techniques.
Strong analytical and problem-solving skills.
Excellent communication and interpersonal skills.
Ability to work independently and as part of a team.
Oracle Certified Professional (OCP) or equivalent certification is a plus.
Experience with cloud-based database services (e.g., AWS RDS, Azure SQL Database, Google Cloud Spanner) is a plus.

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More about this job

Responsibilities

Design, develop, and maintain database solutions across Oracle, Cassandra, and Spark, including data models, database objects, ETL processes, and data warehousing solutions. Optimize performance, develop data-processing applications, protect sensitive data, and collaborate with stakeholders while maintaining technical documentation.

Requirements

Requires a bachelor's or master's degree in computer science, engineering, or a related field, and 8+ years of database development experience focused on Oracle, Cassandra, and Spark. Candidates should have strong SQL, PL/SQL, CQL, Spark, ETL, data warehousing, and data modeling expertise; Oracle certification and cloud database experience are advantageous.

Skills

Oracle Database Development
Cassandra
Apache Spark
SQL
PL/SQL
CQL
Python
Spark SQL
Spark Streaming
Spark MLlib
ETL
Data Modeling
Performance Tuning
Data Warehousing
Database Security
Cluster Administration

Visa sponsorship

Not detected in the job text

Keywords

Oracle
Cassandra
Apache Spark
SQL
PL/SQL
CQL
Python
Spark SQL
Spark Streaming
Spark MLlib
Apache NiFi
Oracle Data Integrator
ETL
Data Warehousing
Data Modeling
Database Architecture
Performance Tuning
Query Optimization
Indexing
Data Security
Encryption
Access Control
Auditing
Cluster Administration
AWS RDS
Azure SQL Database
Google Cloud Spanner
Oracle Certified Professional
Big Data Processing
Data Analytics

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