Data Engineer

2 weeks ago

Toronto, Ontario, Canada Raise Full time

Data EngineerLocation Address:
Hybrid - Toronto – 1-2 days / week (Wednesdays and Thursdays) – need candidates in GTA

Contract Duration:
ASAP to Oct 31, 2024 – approx.

4 monthsPossibility of extensionSchedule Hours:
9am-5pm Monday-Friday; standard 37.5 hrs/weekReason: Additional workload

Candidate Value Proposition:
The successful candidate will have the opportunity to gain exposure to advanced technologies in big data analytics, such as Spark, GCP, Kafka, MongoDB;

  • An inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success
  • Exposure to different business lines where analytics techniques are being applied
Assignment in hands-on practical projects which provide an opportunity to gain new knowledge and develop skillsTypical Day in Role:

  • Collaborate with business lines and other stakeholders and identify opportunities to drive business value by leveraging data engineer.
  • Efficiently handle large volumes of structured and unstructured data through ingestion, modeling, transformation, and storage across diverse data stores.
Leverage distributed computing tools (e.g., Spark, Cloud) for analysis, data mining, and modeling

  • Collaborate with operation, and other analytics teams to deploy models and automate pipelines / workflows in production across different channels and platforms
  • Work with the team to design the project architecture and road map.
  • Create and apply model and algorithm testing strategies to measure the effectiveness of models and make ongoing changes.
  • Prepare detailed documentation to outline data sources, models, and algorithms used and developed.
  • Present results to business line stakeholders and help implement real-world data-driven changes

Candidate Requirements/Must Have Skills:
1) 10+ years of progressive experience as Data Engineer, Software Developer, or similar technical roles.2) 5+ years' experience with SQL/NOSQL and relational databases technologies/concepts for both querying/manipulating datasets and managing /controlling databases.3) 3+ years' experience with Google Cloud Platform about Data Ingesting and on-prem to cloud environment data replication.4) 5+ years' combined experience programming in Python or equivalent languages (Scala, Java), and tools such as Spark, Airflow (please list which)

Nice-To-Have Skills:1) Experience with DBT (Data Building Tool)2) Experience in creating Docker images3) Experience / knowledge of MongoDB4) Experience from banking / financial servicesBest VS

Average Candidate:
GCP, Python and Spark experience best for programming

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