AWS Databrciks Engineer (Toronto)

AWS Databrciks Engineer (Toronto)

18 Aug
|
Akkodis
|
Toronto

18 Aug

Akkodis

Toronto

Location: Toronto, ON Hybrid (3 days Onsite- Tue, Wed, Thursday)

Total Experience: 8-10 Years

AWS: 5 Years

Databricks: 1-2 Years.

Note: Citizens or PR only considered for the TCS role, sorry, OWP won't work.

Responsibilities

- Design, develop, and maintain scalable and robust data pipelines on Databricks.
- Collaborate with data scientists and analysts to understand data requirements and deliver solutions.
- Optimize and troubleshoot existing data pipelines for performance and reliability.
- Ensure data quality and integrity across various data sources.
- Implement data security and compliance best practices.
- Monitor data pipeline performance and conduct necessary maintenance and updates.
- Document data pipeline processes and technical specifications.

Qualifications





- Bachelor's degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in data engineering.
- Proficiency with Databricks and Spark.
- Solid SQL skills and experience with relational databases.
- Experience with big data technologies (e.g., Hadoop, Kafka).
- Knowledge of data warehousing concepts and ETL processes.
- Excellent problem-solving and analytical skills.

Skills

- Databricks
- SQL
- Python
- Data Warehousing
- ETL
- Hadoop
- Kafka

Seniority level

Mid-Senior level

Employment type

Contract

Job function

- Information Technology
- Banking

#J-18808-Ljbffr

📌 AWS Databrciks Engineer (Toronto)
🏢 Akkodis
📍 Toronto

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