Overview
On Site
Hybrid
USD 70.00 per hour
Full Time
Skills
Recruiting
Financial Services
Oracle EBS
People Management
Project Management
Collaboration
Systems Analysis
Application Development
Budget Management
Staff Management
Resource Management
Negotiations
Regulatory Compliance
Accountability
Data Engineering
Management
Durable Skills
Apache HBase
Scala
Streaming
Batch Processing
Messaging
Data Analysis
DICE
Reporting
SQL
PL/SQL
Caching
Couchbase
Distribution
Leadership
Mentorship
Communication
DevOps
Continuous Integration
Continuous Integration and Development
Continuous Delivery
Jenkins
TeamCity
Kubernetes
Software Engineering
Design Patterns
Prototyping
Data Visualization
Presentations
Agile
Cloudera
Hortonworks
Electronic Health Record (EHR)
Amazon S3
Cloud Computing
Amazon Web Services
Snow Flake Schema
Google Cloud
Google Cloud Platform
API
JSON
XML
Payments
Sales
Pricing
Customer Experience
Apache Hadoop
Apache Hive
Apache HTTP Server
Cloudera Impala
Apache Kafka
Apache Spark
Big Data
Java
MongoDB
NoSQL
Oracle
Database
Python
Database Administration
RDBMS
Job Details
Date Posted: 09/24/2025
Hiring Organization: Rose International
Position Number: 489029
Industry: Financial Services
Job Title: Data Engineer
Job Location: Mississauga, ON, Canada, L5R 0B8
Work Model: Hybrid
Work Model Details: 3 days onsite and 2 days remote
Employment Type: Temporary
FT/PT: Full-Time
Estimated Duration (In months): 7
Min Hourly Rate($): 70.00
Max Hourly Rate($): 74.00
Must Have Skills/Attributes: Big Data, JSON, Oracle, Project Management, SQL, XML
Experience Desired: Experience in Big Data architecture (10 yrs); Experience in Hive, Impala, Kafka, HBase, Spark (10 yrs); Experience in Spark/Kafka or equivalent streaming/batch processing and event-based messaging. (10 yrs); Experience in Relational SQL (Oracle, SQL Server), NoSQL (MongoDB) and Cache (Couchbase) (10 yrs)
Required Minimum Education: Bachelor's Degree
Preferred Education: Master's Degree
**C2C is not available**
Job Description
Education:
Bachelor's degree/University degree or equivalent experience
Master's degree preferred
Qualifications:
8-12 years of relevant experience in the Big Data Application Development
Experience as Applications Development Manager
Experience as senior level in an Applications Development role
Stakeholder and people management experience
Demonstrated leadership skills
Proven project management skills
Basic knowledge of industry practices and standards
Applications Development Tech Lead Analyst (Data Engineer)
The Applications Development Tech Lead Analyst is responsible for accomplishing results through the management of a team or department in an effort to establish and implement new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to drive applications systems analysis, development and maintenance activities. This role requires hands-on development and participation in entire software/application development lifecycle.
Responsibilities:
Manage one or more Applications Development teams in an effort to accomplish established goals
Utilize in-depth knowledge and skills across multiple Applications Development areas to provide technical oversight across systems and applications
Review/analyze/develop proposed technical solutions for projects
Contribute to formulation of strategies for applications development and other functional areas
Develop comprehensive knowledge of how areas of business integrate to accomplish business goals
Provide evaluative judgment based on analysis of factual data in complicated and unique situations
Impact the Applications Development area through monitoring delivery of end results, participate in budget management, and handling day-to-day staff management issues, including resource management and allocation of work within the team/project
Ensure essential procedures are followed and contribute to defining standards negotiating with external parties when necessary
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Client, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.
Core Skills:
The Data Engineering lead will be working very closely with and managing the work of a team of data engineers working on our Big DataPlatform. The lead will need the below core skills -
Strong solid understanding of the Big Data architecture and the ability to trouble shoot performance and/or development issues on Hadoop (Cloudera preferably)
Hands-on experience working with Hive, Impala, Kafka, HBase, Spark for data curation/conformance related work.
Strong proficiency in Spark for development work related to curation/conformance. Strong Scala development (with previous Java background) preferred.
Experience with Spark/Kafka or equivalent streaming/batch processing and event-based messaging.
Strong data analysis skills and the ability to slice and dice the data as needed for business reporting.
Relational SQL (Oracle, SQL Server), NoSQL (MongoDB) and Cache (Couchbase) database integration and data distribution principles experience
Leadership & Mentorship: Ability to guide and mentor junior developers, fostering a collaborative team environment and promoting professional growth.
Communication Skills: Strong communication skills, both written and verbal, with the ability to explain complex technical concepts to both technical and non-technical audiences.
DevOps Practices: Experience working in a Continuous Integration and Continuous Delivery environment and familiarity with tools like Jenkins, TeamCity, SonarQube, OpenShift, ECS, or Kubernetes.
Software Engineering Principles: Proficient in industry-standard best practices such as Design Patterns, Coding Standards, Coding modularity, and Prototyping.
Data Visualization: Experience with data visualization tools and techniques for presenting data insights effectively.
Agile Methodologies: Familiarity with agile development methodologies and experience working in agile and scaled agile teams.
Additional Requirements (Nice to have):
Cloudera/Hortonworks/AWS EMR, S3 experience a plus
Experience with Cloud Integration on AWS, Snowflake or Google Cloud Platform tech stack components.
Experience with API development and use of JSON/XML/Hypermedia data formats.
Analysis and development across Lines of business product/function including Payments, Digital Channels, Liquidities, Trade, Sales, Pricing, Client Experience having Cross train, functional and/or technical knowledge
Other Relevant Skills
Apache Hadoop, Apache Hive, Apache Impala, Apache Kafka, Apache Spark, Big Data, Java, MongoDB, NoSQL, Oracle Database, Python (Programming Language), Relational Database Management System (RDBMS).
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Benefits:
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.
California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.
Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.
If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.
Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).
Hiring Organization: Rose International
Position Number: 489029
Industry: Financial Services
Job Title: Data Engineer
Job Location: Mississauga, ON, Canada, L5R 0B8
Work Model: Hybrid
Work Model Details: 3 days onsite and 2 days remote
Employment Type: Temporary
FT/PT: Full-Time
Estimated Duration (In months): 7
Min Hourly Rate($): 70.00
Max Hourly Rate($): 74.00
Must Have Skills/Attributes: Big Data, JSON, Oracle, Project Management, SQL, XML
Experience Desired: Experience in Big Data architecture (10 yrs); Experience in Hive, Impala, Kafka, HBase, Spark (10 yrs); Experience in Spark/Kafka or equivalent streaming/batch processing and event-based messaging. (10 yrs); Experience in Relational SQL (Oracle, SQL Server), NoSQL (MongoDB) and Cache (Couchbase) (10 yrs)
Required Minimum Education: Bachelor's Degree
Preferred Education: Master's Degree
**C2C is not available**
Job Description
Education:
Bachelor's degree/University degree or equivalent experience
Master's degree preferred
Qualifications:
8-12 years of relevant experience in the Big Data Application Development
Experience as Applications Development Manager
Experience as senior level in an Applications Development role
Stakeholder and people management experience
Demonstrated leadership skills
Proven project management skills
Basic knowledge of industry practices and standards
Applications Development Tech Lead Analyst (Data Engineer)
The Applications Development Tech Lead Analyst is responsible for accomplishing results through the management of a team or department in an effort to establish and implement new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to drive applications systems analysis, development and maintenance activities. This role requires hands-on development and participation in entire software/application development lifecycle.
Responsibilities:
Manage one or more Applications Development teams in an effort to accomplish established goals
Utilize in-depth knowledge and skills across multiple Applications Development areas to provide technical oversight across systems and applications
Review/analyze/develop proposed technical solutions for projects
Contribute to formulation of strategies for applications development and other functional areas
Develop comprehensive knowledge of how areas of business integrate to accomplish business goals
Provide evaluative judgment based on analysis of factual data in complicated and unique situations
Impact the Applications Development area through monitoring delivery of end results, participate in budget management, and handling day-to-day staff management issues, including resource management and allocation of work within the team/project
Ensure essential procedures are followed and contribute to defining standards negotiating with external parties when necessary
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Client, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.
Core Skills:
The Data Engineering lead will be working very closely with and managing the work of a team of data engineers working on our Big DataPlatform. The lead will need the below core skills -
Strong solid understanding of the Big Data architecture and the ability to trouble shoot performance and/or development issues on Hadoop (Cloudera preferably)
Hands-on experience working with Hive, Impala, Kafka, HBase, Spark for data curation/conformance related work.
Strong proficiency in Spark for development work related to curation/conformance. Strong Scala development (with previous Java background) preferred.
Experience with Spark/Kafka or equivalent streaming/batch processing and event-based messaging.
Strong data analysis skills and the ability to slice and dice the data as needed for business reporting.
Relational SQL (Oracle, SQL Server), NoSQL (MongoDB) and Cache (Couchbase) database integration and data distribution principles experience
Leadership & Mentorship: Ability to guide and mentor junior developers, fostering a collaborative team environment and promoting professional growth.
Communication Skills: Strong communication skills, both written and verbal, with the ability to explain complex technical concepts to both technical and non-technical audiences.
DevOps Practices: Experience working in a Continuous Integration and Continuous Delivery environment and familiarity with tools like Jenkins, TeamCity, SonarQube, OpenShift, ECS, or Kubernetes.
Software Engineering Principles: Proficient in industry-standard best practices such as Design Patterns, Coding Standards, Coding modularity, and Prototyping.
Data Visualization: Experience with data visualization tools and techniques for presenting data insights effectively.
Agile Methodologies: Familiarity with agile development methodologies and experience working in agile and scaled agile teams.
Additional Requirements (Nice to have):
Cloudera/Hortonworks/AWS EMR, S3 experience a plus
Experience with Cloud Integration on AWS, Snowflake or Google Cloud Platform tech stack components.
Experience with API development and use of JSON/XML/Hypermedia data formats.
Analysis and development across Lines of business product/function including Payments, Digital Channels, Liquidities, Trade, Sales, Pricing, Client Experience having Cross train, functional and/or technical knowledge
Other Relevant Skills
Apache Hadoop, Apache Hive, Apache Impala, Apache Kafka, Apache Spark, Big Data, Java, MongoDB, NoSQL, Oracle Database, Python (Programming Language), Relational Database Management System (RDBMS).
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
- **Only those lawfully authorized to work in the designated country associated with the position will be considered.**
- **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements.**
Benefits:
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.
California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.
Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.
If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.
Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.