обновлено 5 дней назад
Data Architect (AWS)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Architect (AWS) (Data Platforms): Designing and implementing scalable batch and streaming data platforms and pipelines in AWS with an accent on cloud data engineering, orchestration, and real-time processing. Focus on integrating data sources, scaling data architectures, and building production solutions with Kafka, Airflow, Snowflake, and Redshift.
Location: Bulgaria, Romania, or Poland; remote or office work available.
Company
delivers engineering and technology solutions across data and analytics projects.
What you will do
- Design and support scalable data platforms, data pipelines, and AWS-based data solutions.
- Develop and maintain batch and streaming data processing architectures.
- Gather stakeholder requirements and translate them into technical solutions and implementation plans.
- Support data ingestion, source-to-target mappings, and integration of new data sources.
- Manage workflows with Apache Airflow or MWAA and implement real-time processing with Kafka, Amazon MSK, or Kinesis.
- Contribute across the full project lifecycle from PoC and MVP stages through production, including documentation, prototypes, and knowledge sharing.
Requirements
- Proven experience designing scalable data platforms and data pipeline architectures.
- Hands-on experience with batch and streaming data processing solutions.
- Strong expertise in AWS services for data engineering and analytics workloads.
- Proficiency in Python, Scala, or Java, preferably Python, together with strong SQL skills.
- Knowledge of Apache Spark, Databricks, or Flink; Apache Airflow or MWAA; Kafka, Amazon MSK, or Kinesis; and Snowflake or Amazon Redshift.
- Upper-intermediate or higher English proficiency and availability to work from Bulgaria, Romania, or Poland.
Culture & Benefits
- Collaborative and innovation-driven engineering environment.
- Opportunities to explore new technologies and build prototypes.
- Participation in knowledge sharing across the engineering community.
- Remote or office work options.
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