EY GDS

Senior Data Engineer with Snowflake

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SeniorHybryda·KatowiceFull-time

#469147·Dodano 7 dni temu·0

Źródło: nofluffjobs.com

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Tech Stack / Keywords

Data engineeringSnowflake Big Data SQL Python ETLData modelingPublic cloudAzure AWS GCPRelational databaseStorageData warehousesData LakeAgile Scrum Kanban DevOps CI/CDParquetIcebergAvroDocker Kubernetes

Podsumowanie oferty

As a Senior Data Engineer, you will build data platforms that help clients and business partners make decisions. You will design robust solutions using Snowflake and major cloud providers, including Azure, GCP and AWS.

Wymagania

4 years of experience in data engineering.
3 years of experience with Snowflake.
3 years of experience in Big Data.
Proficiency in SQL or Python.
Background in data warehousing, ETL, 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.
Experience with at least one public cloud: Azure, AWS, or GCP.
Strong experience designing relational databases and non-relational storage.
Strong experience with Data Marts, Data Warehouses, Data Lakes, and Data Mesh concepts.
Very good English, verbal and written.
Experience with Agile methodologies such as Scrum and Kanban, DevOps, and CI/CD principles.

Nice to have:

Knowledge of data formats: Parquet, Iceberg, and Avro.
Experience with containerization using Docker and Kubernetes.

Obowiązki

Build data platforms that enable clients and business partners to make efficient decisions.
Design robust solutions on data engines such as Snowflake.
Solve complex business problems on a large scale.
Participate in cross-functional initiatives and collaborate across various domains.
Interact with engineers, product and project managers, and partners from around the world.

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