Date Posted: 08/07/2026
Hiring Organization: Rose International
Position Number: 505417
Industry: Financial Services
Job Title: Senior Big Data Developer
Job Location: Mississauga, ON, Canada, L5R 0B8
Work Model: Hybrid
Work Model Details: Hybrid Model- 3 Days onsite/ 2 days remote
Shift: Standard working hours
Employment Type: Temp to Hire
FT/PT: Full-Time
Estimated Duration (In months): 7
Min Hourly Rate($): 55.00
Max Hourly Rate($): 60.00
Must Have Skills/Attributes: Banking/Financial, Big Data, Data Analytics, Hadoop, Tableau
Experience Desired: Strong experience with the Hadoop ecosystem (6-8 yrs); Hands-on expertise in PySpark and Big Data processing (6-8 yrs); Experience using Autosys or equivalent job scheduling/workflow automation tools (5+ yrs); Experience with BI platforms, preferably Tableau (6-8 yrs); Experience with Databricks (6-8 yrs)
Required Minimum Education: Bachelor's Degree
Preferred Education: Master's Degree
**C2C is not available**
Job Description
Required Education
Bachelor's degree in computer science, Information Technology, Engineering, or a related field.
Preferred Education
Master's degree in computer science, Information Technology, Engineering, or a related field.
Required Qualifications/Skills
6-8 years of professional software development/data engineering experience.
Hands-on expertise in PySpark and Big Data processing.
Experience building and optimizing scalable distributed data pipelines.
Strong experience with the Hadoop ecosystem, including:
Hive
HDFS
Sqoop
Spark
Impala
Scala
Strong SQL skills with experience writing complex queries for data extraction, transformation, validation, and analysis.
Experience designing and developing distributed data systems.
Solid understanding of distributed systems architecture.
Experience with data modeling, data design, and data warehouse concepts.
Experience with dimensional modeling techniques.
Experience with shell scripting.
Experience using Autosys or equivalent job scheduling/workflow automation tools.
Strong analytical and problem-solving skills.
Ability to independently identify, assess, and resolve technical and data-related issues.
Strong verbal and written communication skills.
Ability to communicate technical concepts to both technical and non-technical stakeholders.
Preferred Qualifications/Skills
Experience with Databricks.
Experience with BI platforms, preferably Tableau.
Experience working with real-time and batch streaming data platforms.
Overview
Client is seeking a Senior Big Data Developer / Data Engineer to design, develop, and optimize large-scale data pipelines and distributed data systems that support critical business intelligence initiatives. In this hybrid role based in Pune, you will work with a high-performing engineering team to build scalable, high-performance data solutions using PySpark, the Hadoop ecosystem, and streaming technologies. The role focuses on designing robust data architectures, developing real-time and batch processing pipelines, optimizing large-scale data workflows, and ensuring high availability of enterprise data platforms. The ideal candidate will have strong experience in distributed systems, SQL, data modeling, workflow automation, and Big Data technologies, along with excellent analytical, problem-solving, and communication skills.
Job Duties
Build and maintain scalable data pipelines using PySpark to process structured and unstructured data.
Design and develop solutions using the Hadoop ecosystem, including Hive, HDFS, Sqoop, Spark, Impala, and Scala.
Develop and manage real-time and batch data processing workflows.
Ensure high availability and low-latency data delivery across distributed systems.
Write complex SQL queries for data extraction, validation, transformation, and analysis.
Design and implement scalable data models aligned with data warehouse principles.
Develop data architecture patterns to ensure data consistency and scalability.
Automate pipeline scheduling and orchestration using shell scripting and Autosys.
Monitor, troubleshoot, and resolve technical and data-related issues.
Identify and mitigate technical risks to maintain platform stability.
Collaborate with engineering teams to improve the reliability and performance of enterprise data infrastructure.
#CT1
- **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.).
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