EY GDS

GCP Senior Data Engineer

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SeniorHybryda·WarszawaFull-time

#469130·Dodano 7 dni temu·0

Źródło: nofluffjobs.com

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Tech Stack / Keywords

Data engineeringBig Data Google Cloud Platform GCP SQL PythonData pipelinesData modelingRelational databaseStorageData warehousesData LakeAgile Scrum Kanban DevOps CI/CDParquetORCAvroApache

Podsumowanie oferty

As a Senior Data Engineer, you will build data platforms that help clients and business partners make efficient decisions. You will design data solutions using Google Cloud Platform (GCP) and BigQuery.

Wymagania

4 years of experience in data engineering.
2 years of experience in Big Data using Google Cloud Platform (GCP).
Proficiency in SQL and/or Python.
Background in data warehousing, data pipelines, distributed data processing, software engineering components, and data modeling concepts.
Analytical problem-solving skills, particularly in a big data environment.
Experience working with structured, semi-structured, and unstructured data.
Strong experience in relational database design techniques and non-relational storage.
Strong experience with concepts such as Data Marts, Data Warehouses, Data Lakes, and Data Mesh.
Very good English, verbal and written.
Experience using Agile methodologies such as Scrum and Kanban, DevOps, and CI/CD principles.

Nice to have:

French language at B1 level.
Knowledge of data formats such as Parquet, ORC, and Avro, as well as emerging concepts such as Delta Lake, Apache Hudi, and Iceberg.

Obowiązki

Build data platforms that enable clients and business partners to make efficient decisions.
Design robust solutions on data engines such as GCP and modern data warehousing solutions such as BigQuery.
Participate in international projects based on and implemented using Google Cloud (GCP).

EY GDS

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