2 дня назад
Senior Data Engineer
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Описание вакансии
TL;DR
Senior Data Engineer (Python/SQL/Cloud): Building and maintaining enterprise data pipelines, ETL/ELT workflows, integrations, and cloud-based migration solutions with an accent on data quality, secure connectivity, and cross-cloud transfers. Focus on designing reliable data flows across VPCs, accounts, regions, and cloud platforms while troubleshooting production workloads and improving pipeline performance.
#вакансия
Специализация: #DE #DataEngineer
Уровень: #senior
Английский: #b2 #c1
Senior Data Engineer
Start: ASAP
Workload: Full-time
Location: Remote, preferably CET / European time zones
Duration: Long-term
Language: English
About the Role
We are looking for a Senior Data Engineer / Master Data Developer to work in a complex enterprise environment.
The role focuses on data engineering, integration, migration and cloud-based data solutions. A strong understanding of cloud networking is important, particularly for projects involving data transfers across VPCs, accounts, regions and cloud platforms.
Responsibilities
Develop and maintain enterprise data pipelines.
Build ETL/ELT workflows and system integrations.
Design data transformation and synchronization processes.
Support data warehouse and master data solutions.
Perform large-scale data migrations.
Implement secure data transfers across cloud environments.
Troubleshoot production data workflows.
Improve pipeline performance and reliability.
Implement data quality and validation processes.
Collaborate with Data, Cloud, DevOps and Architecture teams.
Document technical solutions and data flows.
Requirements
5+ years of experience in Data Engineering / Data Integration.
Strong Python and SQL.
Hands-on ETL/ELT and data pipeline development.
Experience with data warehouses and large datasets.
Production environment experience.
Knowledge of data modeling and integration.
Experience with AWS, Azure or GCP.
Understanding of cloud architecture and networking.
Practical experience with VPC / Virtual Network.
Experience with cloud-to-cloud, cross-account or cross-region data migration.
Understanding of IAM and secure connectivity.
Strong analytical and troubleshooting skills.
Nice to Have
Databricks, Snowflake, AWS Glue, Azure Data Factory, Airflow, Kafka, Spark/PySpark, Terraform, Docker, Kubernetes, Informatica, Talend, SSIS.
Important
We are looking for a Data Engineering profile, not a pure MDM or BI specialist. Strong experience with Python, pipelines, cloud and migration is essential.
English B2+ / C1.
📩 Apply / send your CV:
Специализация: #DE #DataEngineer
Уровень: #senior
Английский: #b2 #c1
Senior Data Engineer
Start: ASAP
Workload: Full-time
Location: Remote, preferably CET / European time zones
Duration: Long-term
Language: English
About the Role
We are looking for a Senior Data Engineer / Master Data Developer to work in a complex enterprise environment.
The role focuses on data engineering, integration, migration and cloud-based data solutions. A strong understanding of cloud networking is important, particularly for projects involving data transfers across VPCs, accounts, regions and cloud platforms.
Responsibilities
Develop and maintain enterprise data pipelines.
Build ETL/ELT workflows and system integrations.
Design data transformation and synchronization processes.
Support data warehouse and master data solutions.
Perform large-scale data migrations.
Implement secure data transfers across cloud environments.
Troubleshoot production data workflows.
Improve pipeline performance and reliability.
Implement data quality and validation processes.
Collaborate with Data, Cloud, DevOps and Architecture teams.
Document technical solutions and data flows.
Requirements
5+ years of experience in Data Engineering / Data Integration.
Strong Python and SQL.
Hands-on ETL/ELT and data pipeline development.
Experience with data warehouses and large datasets.
Production environment experience.
Knowledge of data modeling and integration.
Experience with AWS, Azure or GCP.
Understanding of cloud architecture and networking.
Practical experience with VPC / Virtual Network.
Experience with cloud-to-cloud, cross-account or cross-region data migration.
Understanding of IAM and secure connectivity.
Strong analytical and troubleshooting skills.
Nice to Have
Databricks, Snowflake, AWS Glue, Azure Data Factory, Airflow, Kafka, Spark/PySpark, Terraform, Docker, Kubernetes, Informatica, Talend, SSIS.
Important
We are looking for a Data Engineering profile, not a pure MDM or BI specialist. Strong experience with Python, pipelines, cloud and migration is essential.
English B2+ / C1.
📩 Apply / send your CV:
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →
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