Data Infrastructure Specialist

3 weeks ago

Toronto, Ontario, Canada Achievers Full time
Data Infrastructure Specialist

We are seeking a talented Data Infrastructure Specialist to join our growing Data Infrastructure team at Achievers. In this role, you will leverage your expertise in designing and developing large-scale data pipelines on Google Cloud Platform (GCP).

Responsibilities:
  • Design, develop, and implement scalable and reliable data pipelines using Dataflow, Airflow, and Apache Beam on GCP.
  • Work with Data Architects to define data requirements and translate them into technical specifications.
  • Write high-quality, maintainable, and efficient code using Python, PHP, and Go.
  • Collaborate with data engineers and data scientists to troubleshoot data pipelines and ensure data quality.
  • Automate data pipeline deployment and monitoring processes.
  • Stay up-to-date on the latest trends and technologies in the big data landscape.
  • Document data pipelines and code for maintainability.
  • Identify and fill gaps in the team and create the processes necessary for the team's success.

Qualifications:
  • Minimum 5+ years of experience as a Software Engineer with a focus on data infrastructure.
  • Proven experience in designing and developing data pipelines on cloud platforms (preferably GCP).
  • Strong expertise in software development best practices (clean code, version control, testing).
  • In-depth knowledge of distributed processing frameworks like Apache Beam.
  • Experience with containerization technologies like Kubernetes.
  • Proficiency in programming languages like Python, PHP, and Go.
  • You're comfortable with the building blocks of modern back-end systems, such as horizontally scalable data infrastructure, event-driven architecture, and beyond and can clearly articulate the pros/cons of different approaches, while also providing a recommended solution based on the current context.
  • You have familiarity with databases and analytics technologies in the industry, including Data Warehousing, Data Lakes, ETL and Relational Databases.
  • Excellent communication, collaboration, and problem-solving skills.

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