Hybrid Data Engineer, Mid-level

Posted 6 hours ago

Apply now

About the role

  • Data Engineer Pleno at Verity focusing on building data pipelines and analytics frameworks. Engage with teams to ensure data quality and enhance cloud-based solutions.

Responsibilities

  • We are seeking a Mid-level Data Engineer to build, evolve, and maintain data pipelines in cloud environments.
  • The role will prepare and provide data for analytical and intelligence initiatives.
  • Develop and maintain data ingestion and transformation pipelines.
  • Build and optimize datasets for analytical consumption.
  • Organize data into analytical layers.
  • Ensure data quality, reliability, and performance.
  • Collaborate with analysts and data scientists to deliver datasets.
  • Support efforts to improve data architecture.
  • Maintain and evolve existing pipelines.

Requirements

  • Experience in data engineering and building pipelines.
  • Proficient in Python for data manipulation and processing.
  • Advanced SQL skills.
  • Experience with cloud data environments (preferably GCP).
  • Knowledge of data modeling and organizing analytical datasets.
  • Experience with BigQuery.
  • Experience with layered data architectures (Medallion / Lakehouse).
  • Experience with pipeline orchestration tools.
  • Experience working with large-volume data environments.

Benefits

  • Meal allowance
  • Food allowance
  • Home office allowance
  • Medical insurance
  • Dental insurance
  • Life insurance
  • Employee discount partnerships
  • Agreements with businesses and educational institutions
  • Regular agile training
  • Verity Break
  • #VerityWithYou

Job title

Data Engineer, Mid-level

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

Report this job

See something inaccurate? Let us know and we'll update the listing.

Report job