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Senior Data Engineer

Remote: 
Full Remote
Experience: 
Mid-level (2-5 years)
Work from: 
Canada

Offer summary

Qualifications:

Degree in Computer Science or Engineering, 5+ years of experience in data engineering tools, Experience with SQL/NoSQL databases and cloud platforms, Strong Python/Java skills for data processing.

Key responsabilities:

  • Design and build scalable data pipelines
  • Ensure data is accessible and ready for analysis
  • Manage and optimize databases for large datasets
  • Collaborate with AI engineers on data integration
  • Work with infrastructure teams for tool integration
CodeNinja Inc. logo
CodeNinja Inc. Scaleup https://www.codeninjaconsulting.com/
201 - 500 Employees
About CodeNinja Inc.
At CodeNinja, we believe that there's a lot of untapped engineering potential in the world—and we're here to tap it. We're a mission-driven software company of 250+ engineers striving to solve the world's hardest problems for people, businesses, and Governments by tapping the untapped engineering potential of High-Growth and emerging markets. About Our Mission: Our mission is to improve the lives of three billion people living in emerging markets by creating opportunities in technology. Our Mantra: Connecting Resilient engineers with Striking opportunities. Awards and Achievements: Highest Performing B2B companies, 2022, Clutch Most Recommended B2B Company in Germany, 2022, Clutch Forbes Technology Council, 2022, Forbes. Certifications & Partnerships: Adobe Commerce Cloud Solution Partner Microsoft Solution partner for business applications. Microsoft Solution Partner for Azure Data and Ai. Microsoft Solution Partner for Modern Work
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Job description

Responsibilities:

• Design and build scalable data pipelines to support AI/ML workflows.

• Ensure data is accessible, clean, and ready for analysis by the AI/ML team.

• Manage and optimize databases for storing and retrieving large datasets.

• Collaborate with AI eng. to integrate model outputs into existing data structures.

• Work with infra teams to ensure seamless integration of data processing tools.

Requirements

Qualifications:

• Degree in Computer Science, Engineering, or a related field.

• 5+ years of Strong experience in data engineering tools like Apache Spark, Hadoop, or similar.

• Experience with SQL/NoSQL databases, data warehousing solutions, and cloud platforms.

• Strong Python/Java skills for data processing and workflow automation.

Benefits

  • Provident Fund
  • Gym Membership
  • Leaves as per the company policy.
  • Company-paid trips
  • Easy Loan Facility for Employees
  • Yearly increment
  • Health Insurance (includes spouse and parents)

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Apache HadoopJava (Programming Language)Python (Programming Language)Apache SparkData WarehousingNoSQLSQL (Programming Language)Cloud Platform System
Are you interested?

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