Data Engineer AWS (Airflow) (Cataluña)

Data Engineer AWS (Airflow) (Cataluña)

28 sep
|
Wizeline
|
Cataluña

28 sep

Wizeline

Cataluña

Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a integral community of innovators, we foster a culture of growth, collaboration, and impact.

Diagnose and resolve pipeline failures and data quality issues, often without documentation to fall back on. Migrate legacy tables from Hive Metastore to Unity Catalog.

Maintain

Iceberg-enabled table sharing between Databricks and Snowflake. New development (Snowflake, dbt, Airflow) Build and test dbt models, including incremental materializations and data tests. Develop and maintain Airflow DAGs for orchestration. Contribute to Snowflake modeling, performance, and cost decisions. PySpark and SQL — able to read, debug, and modify existing pipelines. Deep Spark tuning is not required.

Unity Catalog: catalogs, schemas, grants, lineage, and the metastore model.

Snowflake

Warehouses, roles and grants, and the general operating model. Query performance and an awareness of how compute cost behaves. Models,



sources, tests, and incremental materializations. Project structure and how dbt fits into a deployment workflow.

Airflow

Writing and maintaining DAGs, operators, scheduling, and dependency management. 3+ years operating production data pipelines. Strong SQL — window functions, complex joins, reading transformation logic written by someone else. Python for scripting, automation, and API integration. Incremental loading patterns, idempotency, late-arriving data, reprocessing.

AWS: S3, IAM basics. Basic working knowledge of Redshift and its role in the wider architecture.

Fluent

English — client-facing role with stakeholders based abroad. Clickstream or web analytics data (Adobe Analytics, Google Analytics, Segment).

Experience taking over an undocumented system and stabilizing it. Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Commitment to Professional Development

📌 Data Engineer AWS (Airflow) (Cataluña)
🏢 Wizeline
📍 Cataluña

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