Offer summary

Qualifications:

At least 5 years of experience as a Big Data Engineer or 3 years as a Big Data technologist using Spark., Strong knowledge of Spark, Datalake, and Big Data storage formats like Parquet and Delta Lake., Familiarity with classical data technologies such as SQL and ADF is a plus., Fluent in English..

Key responsibilities:

Lead the design and development of data solutions using Spark.

Define global guidelines for Big Data practices and development patterns.

Advise and support a team of 5 to 10 Data Engineers.

Develop complex and business-critical data pipelines and assist with production issues.

Job description

Company Description

Our client is an international corporation, market leader in their industry - they are going through a massive growth and they are expanding their digital team in Bucharest.

We are looking for experienced Big Data Engineers for hybrid work.

Job Description

TASKS:

- lead the design & development of the data solution using Spark for the processing, Parquet and Delta lake for the storage format.

- Define the guidelines to be applied worldwide regarding Big data practices (naming convention, development patterns to put in place, solution to privilege ...)

- Be the advisor internally for other team members (5 to 10 Data engineers)

- Develop the more complex and/or strategy / business critical data pipelines within the projects handle in the data department.

- Support the operational in charge of pipeline supervision, whenever a production issue involving Spark / associated code occurs and need an expertise to be solved.

REQUIREMENTS:

- We are looking for a SR Big Data Engineer with at least 5 ys of experience (or at least 3 as Big Data technologist using Spark

- Strong knowledge on Spark / Datalake / Big Data storage (parquet, delta lake, Elastic Search, etc.)

- Skills in more classical data technology in general is a nice to have (SQL, ADF).

- Fluent English