Senior Data Engineer – Scala / Big Data

SPECTRAFORCE; Toronto; Hybrid; CAD 76,000 - 103,000; Full time

Job summary

SPECTRAFORCE is seeking a data-focused professional for a 12‑month Toronto-based position. Hybrid work arrangement of 2 days on-site (Mon & Tue) supports collaboration on databases, large-scale processing systems, and dashboards for end-users.

The role emphasizes data quality, privacy, and security; you will work with Python/Java/Scala and big data tools to deliver robust data solutions across teams. 8–10 years of experience is preferred.

Qualifications

• Degree in Computer Science or IT or a related field.
• Databricks cert or Spark, Scala certs would be a nice to have.
• 8–10 years of overall experience.
• Experience with SQL, Scala, AKKA/PEKKO, and data modeling.

Responsibilities

• Develop and maintain architectures for large datasets, databases, and processing systems.
• Collaborate with cross-functional teams to identify data requirements and design data pipelines.
• Implement data privacy and security measures to ensure compliance.
• Optimize data retrieval and build dashboards and reports for end-users.
• Perform data analysis and troubleshoot data quality issues.

Skills

SQL

Scala

AKKA/PEKKO

Big data analytics

Communication

Analytical skills

Education

Bachelor's in Computer Science or IT

Tools

Databricks

Hadoop

Spark

Data modeling tools

SQL databases

Job description

Duration : 12 Months

Location : Toronto, ON. Hybrid: 2 days - Mon & Tues

SUMMARY OF THE ROLE:

Develop and maintain architectures, such as databases and large-scale processing systems, to handle the collection, storage, and retrieval of large datasets. Collaborate with cross-functional teams to identify and prioritize data requirements, pipeline design, and data aggregation and transformation. Implement data privacy and security measures to ensure adherence to compliance standards and protection of sensitive information. Optimize data retrieval and develop dashboards, reports, and other visualization tools to present data insights to end-users effectively. Perform data analysis and troubleshooting to identify data-related issues and ensure data quality and integrity. Stay current with industry trends and advancements in data solutions to recommend and implement improvements to existing systems.

Skills

• Proficiency in SQL and experience with relational and non-relational database systems.
• Knowledge of data modeling and warehousing principles.
• Experience with big data tools (e.g., Hadoop, Spark) and data pipeline and workflow management tools. ( 5 to 8 years)
• Strong analytical and problem-solving abilities to address data-related challenges.
• Familiarity with programming/scripting languages such as Python, Java, or Scala.
• Excellent communication and collaboration skills to work effectively with both technical and non-technical team members.
• AKKA/PEKKO- 2 to 3 years
• Scala Exp- 5 years

Nice to have:

Databricks

CANDIDATE PROFILE DETAILS:

Degree/Level of Education: Bachelors in Computer Science or IT or a relevant field

Certifications Required: Databricks cert or Spark, Scala certs- would be a nice to have

Years of Overall Experience: 8 to 10 years overall exp

Preferred/Ideal Candidate Background: exp with SQL, SCALA, AKKA/PEKKO, data modelling

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At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. The pay rate for this position is C$65.00/hr.