Data Engineer (Middle)
- Рівень:
- middle
- Джерело:
- djinni.co
Що робити
- Design, build, and maintain scalable batch and near-real-time data pipelines.
- Develop and optimize ETL/ELT workflows using Python, SQL, Spark/PySpark, Airflow, dbt, or similar tools.
- Work with cloud-based data platforms and services, especially AWS.
- Build and support data lakes, lakehouse architectures, and data warehouses.
- Integrate data from APIs, databases, SaaS tools, files, and streaming/event-based sources.
Що очікуємо
- 3-5 years of experience in Data Engineering or closely related roles.
- Strong hands-on experience with Python, SQL, and Spark/PySpark.
- Experience building and maintaining production-grade ETL/ELT pipelines.
- Strong understanding of data warehouses, data lakes, lakehouse architectures, and data modeling.
- Experience with AWS data services such as S3, Glue, Lambda, Athena, EMR, Redshift, Firehose, Kinesis, SQS, or EventBridge.
Що пропонуємо
- Experience with Kafka, Kinesis, Pub/Sub, or other streaming/event-driven technologies.
- Experience with Delta Lake, Iceberg, Hudi, or other lakehouse table formats.
- Experience with Kubernetes.
- Experience in high-load, fintech, healthcare, telecom, eCommerce, SaaS, or analytics-heavy products.
- Experience with BI/reporting tools such as Tableau, Looker, Metabase, Power BI, or similar.
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