Senior Data Engineer

On behalf of our client, we are looking for a Senior Data Engineer to strengthen the data team by building and optimizing data pipelines for the IN-Gauge SaaS platform used by global hotel chains

Responsibilities:

- Build and optimize high-volume ETL/ELT pipelines for hospitality data

- Support ongoing architectural improvements of the data platform

- Work with Spark/PySpark in production environments

- Collaborate with the team to ensure reliable data processing and delivery

Requirements:

- 5+ years of experience as a Data Engineer

- 2+ years of production experience with Spark / PySpark

- 2+ years of hands-on experience with AWS (latest project on AWS)

- Experience building and supporting ETL/ELT pipelines in production

- Upper - Intermediate or higher level of English

Nice to Have:

- Kafka / Kinesis, DynamoDB, Fargate / Step Functions

- Airflow or batch orchestration tools

- Lake Formation / Athena

- Experience with big data migrations

- Ability to read Spark UI and troubleshoot OOM issues

Company offers:

- Long-term employment with possibilities for professional growth

- Fully remote work

- Reasonably flexible schedule

- 15 days of paid vacation

- Regular performance reviews