Data Solutions Developer IV (8-10 years of experience) to develop and maintain large-scale data processing systems using SQL, Scala, Spark, AKKA/PEKKO, and data modeling 58449 Our financial services client is seeking a Data Solutions Developer IV (8-10 years of experience) to develop and maintain large-scale data processing systems using SQL, Scala, Spark, AKKA/PEKKO, and data modeling
This role supports business-as-usual data initiatives within a banking workplace as part of a 15-developer team. The position focuses on large-scale data processing, data pipeline design, data aggregation and transformation, and data quality initiatives using SQL, Scala, Spark, and AKKA/PEKKO. The engagement is a maternity leave coverage contract running through September 2027 with a hybrid onsite schedule in Toronto.
66 Wellington
12 months
Must Haves 8-10 years in data solutions development with SQL , Scala , and data modeling
5+ years with Spark , big data tools , and data pipeline technologies
2-3 years using AKKA/PEKKO in large-scale processing environments
Relational databases , non-relational databases , and data warehousing principles
Bachelor’s degree in Computer Science, IT, or a relevant field
Nice to Have Databricks
Databricks certification
Spark certification
Responsibilities Develop and maintain databases and large-scale processing systems for data collection, storage, and retrieval
Collaborate with cross-functional teams to identify and prioritize data requirements and pipeline design
Implement data privacy and security measures to support compliance standards and sensitive information protection
Optimize data retrieval and develop dashboards, reports, and visualization tools for end-users
Perform data analysis and troubleshooting to identify data-related issues and maintain data quality and integrity
Recommend and implement improvements to existing data solutions based on industry trends and advancements




Our financial services client is seeking a Data Solutions Developer IV (8-10 years of experience) to develop and maintain large-scale data processing systems using SQL, Scala, Spark, AKKA/PEKKO, and data modeling
This role supports business-as-usual data initiatives within a banking environment as part of a 15-developer team. The position focuses on large-scale data processing, data pipeline design, data aggregation and transformation, and data quality initiatives using SQL, Scala, Spark, and AKKA/PEKKO. The engagement is a maternity leave coverage contract running through September 2027 with a hybrid onsite schedule in Toronto.
Contract, Toronto, Hybrid, 2 days per week onsite- Mon & Tues
66 Wellington
12 months
Must Haves 8-10 years in data solutions development with SQL , Scala , and data modeling
5+ years with Spark , big data tools , and data pipeline technologies
2-3 years using AKKA/PEKKO in large-scale processing environments
Relational databases , non-relational databases , and data warehousing principles
Bachelor’s degree in Computer Science, IT, or a relevant field
Nice to Have Databricks
Databricks certification
Spark certification
Scala certification
Responsibilities Develop and maintain databases and large-scale processing systems for data collection, storage, and retrieval
Collaborate with cross-functional teams to identify and prioritize data requirements and pipeline design
Implement data privacy and security measures to support compliance standards and sensitive information protection
Optimize data retrieval and develop dashboards, reports, and visualization tools for end-users
Perform data analysis and troubleshooting to identify data-related issues and maintain data quality and integrity
Recommend and implement improvements to existing data solutions based on industry trends and advancements
Disclaimer:
AI may be used in evaluating candidates.
This posting is for an existing vacancy.

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📌 Data Solutions Developer IV (8-10 years of experience) to develop and maintain large-scale data proc (Ontario)
🏢 S.i. Systems
📍 Ontario