Konrad Group

Senior Data Engineer

Konrad Group$120K — $145K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree or higher in Computer Science, Data Engineering, or related field.
  • 4+ years of experience as a Data Engineer or in a similar role.
  • Proficiency in Azure Fabric, Databricks, and Snowflake.
  • Hands-on experience with data pipeline tools and cloud services.
  • Strong programming skills in SQL or Python.
  • Experience with big data technologies (Spark, Hadoop, Kafka).
  • Excellent analytical and problem-solving skills.

Responsibilities

  • Design, build, and manage scalable data platforms and pipelines.
  • Implement solutions using Azure Fabric, Databricks, and Snowflake.
  • Optimize data workflows for reliability and performance.
  • Collaborate with stakeholders to understand and fulfill data needs.
  • Ensure data security and compliance with industry standards.
  • Perform data modeling and ETL/ELT processes.
  • Identify and recommend innovations to improve data quality and analytics.

Benefits

  • Comprehensive Health & Wellness Benefits Package
  • Retirement Planning
  • Parental Leave Program
  • Annual tech & travel allowance
  • Flexible Working Hours
  • Work from Home Flexibility
  • Service Recognition Programs
  • Socials, Outings & Retreats
  • Culture of Learning & Development
Full Job Description
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.
  • Ability to effectively communicate technical concepts clearly to non-technical stakeholders.

Nice to have
  • Certifications related to Azure Data Engineering, Databricks, or Snowflake.
  • Familiarity with DevOps practices and CI/CD pipelines.

Perks and Benefits
  • Comprehensive Health & Wellness Benefits Package
  • Retirement Planning
  • Parental Leave Program
  • Annual tech & travel allowance
  • Flexible Working Hours
  • Work from Home Flexibility
  • Service Recognition Programs
  • Socials, Outings & Retreats
  • Culture of Learning & Development

Bonus Points

Have you taken any courses at BrainStation? A lot of our design and development best practices and processes are taught during our courses - make sure to highlight this experience in your cover letter if you have!

The estimated compensation for this position is $120,000 to $145,000. This is an estimate and a compensation offer will vary based on applicant's education, experience, skills, abilities and alignment with market data.

While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.

#LI-Hybrid

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