Mid/Senior Data Engineer (AWS)
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MidFull-time
#434977·Dodano 19 dni temu·23
Źródło: XebiaTech Stack / Keywords
AWSSQLELTdbtApache AirflowPythonS3GlueLambdaRedshift","Kafka","Spark","Apache NiFi","Docker","Kubernetes
Firma i stanowisko
Xebia is a global AI-first, digital transformation, and engineering partner with over 25 years of experience and a team of 5,000 professionals across 16 countries. In the CEE region, they have nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for notable clients such as McLaren, Aviva, Deloitte, Spotify, Disney, and others. They specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products using technologies including AWS, Azure, GCP, Databricks, and Snowflake.
Wymagania
- 3+ years of professional experience in data engineering or related technical roles
- Hands-on experience with AWS and cloud-based data platforms
- Strong SQL and data modelling skills
- Experience with production-scale data warehouses such as Amazon Redshift, Snowflake, or BigQuery
- Proven experience with Python, dbt, and Apache Airflow
- Familiarity with Kafka, Spark, and Apache NiFi
- Experience with Docker and Kubernetes
- Strong analytical, problem-solving, communication, and collaboration skills
- Comfortable working with large and complex datasets in production environments
- Excellent English skills for effective communication with international teams
- Proactive mindset focused on continuous improvement
Obowiązki
- Designing, developing, and maintaining scalable batch and real-time data pipelines
- Building ELT workflows and data transformations using Python, SQL, and dbt
- Developing and maintaining cloud-based data infrastructure on AWS, including S3, Glue, Lambda, and Redshift
- Implementing data orchestration and scheduling using Apache Airflow or Amazon MWAA
- Working with streaming and big data technologies such as Kafka, Spark, and Apache NiFi
- Ensuring reliability, performance, scalability, and quality of production data pipelines
- Collaborating with data architects, product teams, analysts, IT teams, and business stakeholders
- Contributing to data security, governance, monitoring, automation, and continuous improvement
- Participating in scheduled on-call rotation to support platform reliability
Inne informacje
Work from the European Union region and a work permit are required.
Xebia sp. z o.o.
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