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
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 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.
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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