Lead Data Engineer
Job Summary
Job Description
The Lead Data Engineer will develop and maintain data pipelines and ETL/ELT processes using Python. They will design and implement scalable, high-performance applications. Collaboration with cross-functional teams is essential for defining requirements and delivering solutions. Experience with near real-time data streaming solutions is required. They will contribute to code reviews and continuous improvement initiatives while monitoring and troubleshooting production systems to ensure reliability and performance. The ideal candidate should also have strong communication skills and the ability to work in a collaborative environment.
Must have:
- 5+ years of software development experience with Python.
- Experience building and optimizing ETL/ELT processes and data pipelines.
- Proficiency with SQL and database concepts.
- Experience with data processing frameworks (e.g., Pandas).
- Understanding of software design patterns and architectural principles.
- Ability to write clean, well-documented, and maintainable code.
- Experience with unit testing and test automation.
- Experience working with any cloud provider (GCP is preferred).
- Experience with CI/CD pipelines and Infrastructure as code.
- Experience with Containerization technologies like Docker or Kubernetes.
- Bachelor's degree in Computer Science, Engineering, or related field.
- Proven track record of delivering complex software projects.
- Excellent problem-solving and analytical thinking skills.
- Strong communication skills and ability to work in a collaborative environment.
Good to have:
- Experience with GCP services, particularly Cloud Run and Dataflow.
- Experience with stream processing technologies (Pub/Sub).
- Familiarity with big data technologies (Airflow).
- Experience with data visualization tools and libraries.
- Knowledge of CI/CD pipelines with Gitlab and infrastructure as code with Terraform.
- Familiarity with platforms like Snowflake, Bigquery or Databricks.
- GCP Data engineer certification.
Perks:
- Competitive salary.
- Strong insurance package.
- Extensive learning and development resources.
13 skills required
Job Details
Position Overview
We are looking for an experienced Lead Data Engineer to join our dynamic team. If you are passionate about building scalable software solutions, and work collaboratively with cross-functional teams to define requirements and deliver solutions we would love to hear from you.
ShyftLabs is a growing data product company that was founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation.
Job Responsibilities:
- Develop and maintain data pipelines and ETL/ELT processes using Python
- Design and implement scalable, high-performance applications
- Work collaboratively with cross-functional teams to define requirements and deliver solutions
- Develop and manage near real-time data streaming solutions using Pub, Sub or Beam.
- Contribute to code reviews, architecture discussions, and continuous improvement initiatives
- Monitor and troubleshoot production systems to ensure reliability and performance
Basic Qualifications:
- 5+ years of professional software development experience with Python
- Strong understanding of software engineering best practices (testing, version control, CI/CD)
- Experience building and optimizing ETL/ELT processes and data pipelines
- Proficiency with SQL and database concepts
- Experience with data processing frameworks (e.g., Pandas)
- Understanding of software design patterns and architectural principles
- Ability to write clean, well-documented, and maintainable code
- Experience with unit testing and test automation
- Experience working with any cloud provider (GCP is preferred)
- Experience with CI/CD pipelines and Infrastructure as code
- Experience with Containerization technologies like Docker or Kubernetes
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
- Proven track record of delivering complex software projects
- Excellent problem-solving and analytical thinking skills
- Strong communication skills and ability to work in a collaborative environment
Preferred Qualifications:
- Experience with GCP services, particularly Cloud Run and Dataflow
- Experience with stream processing technologies (Pub/Sub)
- Familiarity with big data technologies (Airflow)
- Experience with data visualization tools and libraries
- Knowledge of CI/CD pipelines with Gitlab and infrastructure as code with Terraform
- Familiarity with platforms like Snowflake, Bigquery or Databricks,.
- GCP Data engineer certification
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About The Company
Here at ShyftLabs, we build data products to help enterprises deliver real impact through tailored data analytics, science, and AI solutions. From consulting to operations, we guide our customers through their data journey and ensure they are data and AI-empowered.
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