Konrad

SeniorDataEngineer

CA$120–145k Toronto, Ontario, Canada Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Data Engineer at Konrad. Skills: Data platforms, Data pipelines, Data architecture. Design data platforms. Build data platforms”

Industry & Context.

Problems you'll solve

Problem-solving skills; Troubleshooting; Analytical skills

What They're Looking For.

Must Have

4+ years of professional experience, Proficiency in Azure Fabric, Databricks, and Snowflake, Hands-on experience with data pipeline tools, Hands-on experience with cloud services, Hands-on experience with storage solutions, Programming skills in SQL, Programming skills in Python, Experience with big data technologies, Experience with big data concepts, Excellent analytical skills, Excellent troubleshooting skills, Excellent problem-solving skills, Ability to communicate technical concepts

Nice to Have

Certifications related to Azure Data Engineering, Certifications related to Databricks, Certifications related to Snowflake, Familiarity with DevOps practices, Familiarity with CI/CD pipelines

What You'll Do.

Design data platforms

Maintain data platforms

Design data pipelines

Maintain data pipelines

Implement solutions leveraging Azure Fabric

Implement solutions leveraging Databricks

Implement solutions leveraging Snowflake

Optimize data workflows

Understand data needs

Deliver tailored solutions

Ensure data compliance

Perform data modelling

Perform data extraction

Perform data transformation

Identify innovative solutions

Recommend innovative solutions

Enhance analytics capabilities

How You'll Work.

Team & Collaboration

Collaborate with data analysts; Collaborate with data scientists; Collaborate with other engineers; Collaborate with internal stakeholders

Communication Scope

Communicate technical concepts

Full Job Description

Who We Are Konrad is a next generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard working people who are lifelong learners. About The Role As a Senior Data Engineer you’ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be essential as you collaborate closely with data analysts, scientists, and other engineers to ensure reliable, secure, and efficient data solutions. What You’ll Do Design, build, and manage robust data pipelines and data architectures. Implement solutions leveraging platforms such as Azure Fabric, Databricks, and Snowflake. Optimize data workflows, ensuring reliability, scalability, and performance. Collaborate with internal stakeholders to understand data needs and deliver tailored solutions. Ensure data security and compliance with industry standards and best practices. Perform data modelling, data extraction, transformation, and loading (ETL/ELT). Identify and recommend innovative solutions to enhance data quality and analytics capabilities. Qualifications Bachelor’s degree or higher in Computer Science, Data Engineering, Information Technology, or a related field. 4+ years of professional experience as a Data Engineer or similar role. Proficiency in data platforms such as Azure Fabric, Databricks, and Snowflake. Hands-on experience with data pipeline tools, cloud services, and storage solutions. Strong programming skills in SQL, Python, or related languages. Experience with big data technologies and concepts (Spark, Hadoop, Kafka). Excellent analytical, troubleshooting, and problem-solving skills.

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