Backend Data Engineer

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profile Job Location:

Montreal - Canada

profile Monthly Salary: Not Disclosed
profile Experience Required: 5years
Posted on: 6 hours ago
Vacancies: 1 Vacancy

Job Summary

Backend Data Engineer

Location: Montreal Canada

Experience: 68 years

Role Overview

We are looking for a senior backend developer with strong expertise in Java/Scala Databricks and Snowflake. The ideal candidate will deliver tactical and strategic improvements possess excellent backend Java development skills using Microservices for REST APIs and have experience with both relational and NoSQL databases. Exposure to UI development is a plus.

The candidate will work closely with users to document requirements create technical designs perform coding and code reviews and provide user support.



Key Responsibilities

  • Engage with users for requirements gathering and documentation latest by end of February.
  • Create technical designs develop and review code and support users effectively.
  • Analyze data processes and workflows to provide insights and improvements.
  • Serve as a senior resource with strong backend development expertise.


Required Skills

  • Programming & Scripting: Java Scala Python (expert level mandatory) Shell scripting
  • Big Data & Cloud: Spark (PySpark/Scala) Databricks Snowflake
  • Databases: RDBMS (DB2 Postgres) and NoSQL databases
  • Other: Microservices architecture REST API development data analysis


Experience & Qualifications

  • 5 years in a hands-on application development role
  • Proven experience in backend development and cloud-based solutions
  • Prior experience in a global financial organization is a plus


Backend Data EngineerLocation: Montreal CanadaExperience: 68 yearsRole OverviewWe are looking for a senior backend developer with strong expertise in Java/Scala Databricks and Snowflake. The ideal candidate will deliver tactical and strategic improvements possess excellent backend Java development s...
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Company Industry

IT Services and IT Consulting

Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala