Python Data Science (Dag)

Python Data Science (Dag)

21 May
|
TalentOla
|
Dag

21 May

TalentOla

Dag

Role Purpose

The Data Engineer builds, optimises, and maintains scalable data pipelines across Aviva's cloud and big data ecosystems. Key Responsibilities

- Build ETL/ELT pipelines in Python, PySpark and Airflow. - Implement AWS data patterns: S3, Glue, Lambda, EMR, Kinesis, Redshift. - Deliver scalable, production grade transformations. - Ensure data quality, lineage, validation and monitoring. - Collaborate with architects, analysts, data scientists. Skills & Experience

- Strong Python (Pandas), PySpark and Airflow DAG creation. - Large scale data engineering experience. - AWS engineering experience or cloud equivalents. - Robust SQL and data modelling. Nice to Have

- Snowflake, DBT, Redshift experience. - Kafka, Terraform, CI/CD, containerisation.

📌 Python Data Science (Dag)
🏢 TalentOla
📍 Dag

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