Senior Data Engineer
# Senior Data Engineer **Be | Shaping the Future** · Romania · `Remote` · `Full Time` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Data-Engineer]` `[Data-Pipeline-Engineer]` `[Cloud-Data-Engineer]` `[Big-Data-Engineer]` `[Senior-Data-Engineering]` `[Senior-Lead-Data-Engineering]` `[Senior-Data-Engineer-Jobs]` `[Senior-Data-Engineer-Positions]` `[Data-Platform-Engineer]` --- ### About the Role Role Overview We are seeking an experienced Senior Data Engineer to design, build, and maintain scalable data pipelines and cloud-based data solutions. The role covers data ingestion, processing, storage, orchestration, and delivery to Analytics and BI teams within an AWS-based data ecosystem. Responsibilities - Design and maintain batch and real-time data pipelines. - Integrate data from APIs, databases, files, and external sources using Apache Kafka and AWS services. - Develop and orchestrate workflows with Apache Airflow, including monitoring, retry mechanisms, and alerting. - Build and optimize distributed data processing solutions using Apache Spark, PySpark, Spark SQL, and AWS EMR. - Manage Data Lake and Data Warehouse environments using Amazon S3 and Amazon Redshift. - Design analytical data models, including Star and Snowflake schemas. - Prepare and optimize datasets for Analytics and Business Intelligence use cases, particularly for Qlik. - Develop high-quality solutions using Python and SQL, following best practices for Git, code reviews, testing, and documentation. - Ensure data quality, security, governance, and compliance, including AWS IAM, encryption, and access control. - Monitor production data pipelines and proactively address operational and performance issues. Mandatory Requirements - Proven experience as a Senior Data Engineer or in a similar role. - Advanced proficiency in Python and SQL. - Hands-on experience with: - Apache Spark / PySpark - Apache Kafka - Apache Airflow - Strong AWS experience, particularly with: - Amazon S3 - Amazon Redshift - AWS EMR - Experience with Data Lakes, Data Warehouses, ETL/ELT processes, and data modeling. - Strong understanding of batch and streaming architectures. - Experience with performance optimization, Git, testing practices, and production support. Technical Stack - Python - SQL - Apache Spark / PySpark - Apache Kafka - Apache Airflow - AWS EMR - Amazon S3 - Amazon Redshift - Git - Qlik Originally posted on Himalayas
- Data-Engineer
- Data-Pipeline-Engineer
- Cloud-Data-Engineer
- Big-Data-Engineer
- Senior-Data-Engineering
- Senior-Lead-Data-Engineering
- Senior-Data-Engineer-Jobs
- Senior-Data-Engineer-Positions
- Data-Platform-Engineer
Наблюдалась 2026-10-05, впервые 2026-10-04, источник — Himalayas (JSON API).