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.

#J-18808-Ljbffr

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