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
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