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Akkodis

Toronto / Global

AWS Databrciks Engineer

  • Hybrid

Job Summary

Job Type:
Contract
Work Settings:
Hybrid
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Job Description

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.

Strong 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

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