Senior Data Engineer (GCP)
Senior Data Engineer building and maintaining ELT pipelines with Kubeflow on Google Cloud, supporting a migration from Acxiom inputs to the Amperity platform. Core stack: Python, SQL, GCP/BigQuery, Apache Spark, Airflow, ElasticSearch.
- Compensation
- Not disclosed
- Location
- Europe
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Hands-on experience with Google Cloud (GCP)
- Experience developing and maintaining ELT/data pipelines
- Experience with data integration/migration
- Strong expertise in Python
- Strong expertise in SQL
- Proficiency with big data tools such as Apache Spark or Airflow
- Experience with BigQuery
- Experience with ElasticSearch
- Experience with Kubeflow
Full description
!! We don't consider Python devs, experience in data engineering is a must-have.
We are looking for a Data Engineer to develop and maintain ELT pipelines using Kubeflow and support the migration from Acxiom inputs to Amperity platform inputs. The role requires hands-on experience with Google Cloud, data pipeline development, and data integration/migration.
The ideal candidate should have strong expertise in Python, SQL, experience working with GCP is mandatory, and proficiency with big data tools such as Apache Spark or Airflow.
Python
SQL
Apache Spark
BigQuery
ElasticSearch
Kubeflow
Процес співбесід:
- HR Interview (30 min)
- Technical Interview (1,5 hours)
- Non-technical interview with Delivery Manager (30 min)
- Client Interview (1 hour)
We offer:
Stable employment within an international, well-established, fast-growing company
Being an important member of the organization
Meaningful job with possibilities to make a difference
Very friendly and intellectually stimulating working environment
Competitive salary
Atmosphere built on trust, support and mutual respect
20 vacation days, 10 sick leave days, medical insurance
English classes
Education platform with courses