Senior DBA Databricks
dayl-group · Europe
- Зарплата
- 30 – 35 €
- Грейд
- Senior
- Формат
- Удалённо
- Занятость
- Полная
- Категория
- DevOps
- Источник
- 💻☕️ Jobs_IT
Контакт HR — бесплатно после входа
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Описание
#Vacancy #Вакансія #Job #Senior #DBA #Databricks #remote #
Сompany: dayl-group
EUR 30-35 | hour
Employment: full time
Duration: Long-term (6–9 months)
ENGLISH – B2+/С1
Candidate's location: Europe
Project objective: migration from Oracle to Databricks.
Senior DBA Databricks
The Skill Requirements:
Databricks: Hands-on experience and technical fluency building pipelines & workflows using PySpark, Delta Lake and Unity Catalog (beyond Notebooks).
Advanced SQL & Data Modeling: Expert-level SQL skills and a mastery of data modeling techniques (Dimensional, Star Schema, Snowflake) and ability to translate them into modern Big Data SQL / Databricks SQL.
Desired additional skills
dbt for modelling & Airflow for orchestration
Experience choosing the right clusters, configurations, run-times for the right workloads and performance tuning pipelines to optimize the workflows desired.
Exposure working with AWS services (S3 especially)
DevOps & Engineering: Docker/Kubernetes and well versed in implementing and releasing production artefacts with CI/CD best practices (preferably with Gitlab).
Governance: Experience with data versioning, schema evolution, and
distributed metadata management.
CV & Details in DM.
@virn2014
Сompany: dayl-group
EUR 30-35 | hour
Employment: full time
Duration: Long-term (6–9 months)
ENGLISH – B2+/С1
Candidate's location: Europe
Project objective: migration from Oracle to Databricks.
Senior DBA Databricks
The Skill Requirements:
Databricks: Hands-on experience and technical fluency building pipelines & workflows using PySpark, Delta Lake and Unity Catalog (beyond Notebooks).
Advanced SQL & Data Modeling: Expert-level SQL skills and a mastery of data modeling techniques (Dimensional, Star Schema, Snowflake) and ability to translate them into modern Big Data SQL / Databricks SQL.
Desired additional skills
dbt for modelling & Airflow for orchestration
Experience choosing the right clusters, configurations, run-times for the right workloads and performance tuning pipelines to optimize the workflows desired.
Exposure working with AWS services (S3 especially)
DevOps & Engineering: Docker/Kubernetes and well versed in implementing and releasing production artefacts with CI/CD best practices (preferably with Gitlab).
Governance: Experience with data versioning, schema evolution, and
distributed metadata management.
CV & Details in DM.
@virn2014
- databricks
- pyspark
- delta_lake
- unity_catalog
- sql
- data_modeling
- dbt
- airflow
- aws
- docker
- kubernetes
- devops
- ci/cd
- gitlab
- data_versioning
- schema_evolution
- metadata_management
Оценка вакансии
100/100 · отлично
- Оценка описания недоступна
- Зарплатная вилка указана
- Компания и проект описаны
- Контакт HR подтверждён
- Стек описан подробно
- Формат работы понятен
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