Sr. Data Engineer - 55902

Business Unit: 4Protect, Fraud Product

Duration: 6 months

Extension possible: yes

Conversion Possible: yes

Interview Process: 2 rounds

Work Location :Hybrid- 4 days in Nov, Toronto ON

CANDIDATE PROFILE DETAILS:

Degree/Certifications Required: no

Years of experience: 8 plus years overall relevant exp

Reason for request/why opened: backfilling

% Interaction with Stakeholders: 20%

Project Scope: project based work, can change time to time

Team Size: 10 people

Personality Style/Team Culture:

Positive attitude, can take ownership of tasks. Ability to drive initiatives for the team. Guide team when needed, jump on fires when needed.

Selling Points of Position: long term role with a top Bank

Best Vs Average Candidate:

What we’re looking for:

• Azure Data Factory - Data ingestion, transformation & ADLS integration

• Databricks & PySpark - Complex transformations & performance tuning

• Azure DevOps - CI/CD pipeline expertise

• SQL - Advanced querying & optimization

• Problem-Solver - Strong debugging and troubleshooting skills

Understanding pro’s/cons of the solution they are recommending

How will performance be measured: deliverables

SUMMARY OF DAY TO DAY RESPONSIBILITIES:

Recommending solutions

Data Ingestion/transformation/integration. Performing complex data transformation and performance tuning.

Debugging/ troubleshooting

Must Haves:

5 to 8 years in the below technologies:

• Azure Data Factory

• Databricks & PySpark

• Azure DevOps

• SQL

NICE TO HAVE

1.) Stakeholder mgmt.

2.) Banking exp - enterprise protect experience