Data Engineer & Analytics

Kredivo Group; Markham; On-site; CAD 60,000 - 70,000; Full time

Job summary

A leading analytics firm in Markham, Canada, is seeking an Entry Level Data Engineer to empower stakeholders with data solutions. You will design scalable data pipelines, create documentation, and support data quality efforts. Ideal candidates will have 1-3 years of relevant experience, strong SQL and Python skills, and good communication abilities in Bahasa and English. This is a full-time position offering a fantastic opportunity to grow in the field.

Qualifications

• 1-3 years of experience in Data Engineering or Analytics-related fields.
• Ability to write robust and scalable code in Python or similar languages.
• Good knowledge of creating workable business dashboards.

Responsibilities

• Design and develop scalable business data solutions.
• Create and review technical and user-focused documentation.
• Collaborate with teams to support data quality efforts.

Skills

SQL proficiency

Python scripting

Data warehousing concepts

Communication in Bahasa and English

Tools

AWS

GCP

MySQL

PostgreSQL

Spark

Hadoop

Job description

Overview

As a Data Engineer and Analytic you will be tasked with empowering internal stakeholders to delve deep into the complexities of the data in our warehouse. You will work closely with Product, Engineering, and Data teams to build scalable data pipelines and design data analytics engines that empower deep insights for users. The person in this position will take work seriously, has a strong sense of duty, and is disciplined. The position will generally be task oriented, requiring someone with a conservative, careful, and cautious approach to work.

Responsibilities

• Design and develop scalable business data solutions across the entire data supply chain.
• Create and review technical and user-focused documentation for data solutions (data models, data dictionaries, business glossaries, process and data flows, architecture diagrams, etc.).
• Solve for complex data integrations across multiple systems.
• Collaborate with management, business partners, analysts, developers, architects, and engineers to support data quality efforts.
• Expertise (can teach/instruct others): in current data warehousing concepts (using technologies like Redsift, Spark, Hadoop, web services, etc to support business-driven decisioning)
• SQL and database scripting
• With data manipulation scripting languages (like Python or Scala)
• With Data Science toolsets and technology stack

Qualifications

• A passionate and curious individual in Data Engineering and Analytics subject areas
• 1-3 years of any relevant experiences in Data Engineering, Data Warehouse, Business Intelligence, Analytics
• Good proficiency in writing SQL, either in RDBMS (i.e. MySQL, PostgreSQL, etc) or OLAP (i.e. BigQuery, Redshift, Oracle, etc.)
• Ability to write robust and scalable code in Python or other scripting programming language
• Good knowledge in creating a workable business dashboard.
• Basic proficiency or experience in infrastructure setup using cloud services (i.e. AWS, GCP, Azure).
• Strong passion in data engineering or business intelligence areas, ability to search or create solutions.
• Good communication skills in Bahasa and English. Mostly explaining technical things.
• Good workable attitude, something we could invest time to develop.

Seniority level

Entry level

Employment type

Full-time

Job function

Information Technology