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Remote Data Engineer - Spark, Python & Ml In The Cloud

Veeva
Madrid, Spain
about 1 month ago
Apply on www.buscojobs.com.es
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
www.buscojobs.com.es

Tech stack

Amazon Web Services Cloud Computing Java Virtual Machine (JVM) Python (Programming Language) Machine Learning Cloud Services Apache Spark Data Lakes Veeva Data Pipelines

Job description

Veeva is hiring a Data Engineer to build and evolve the Link data platform.You will own data pipelines with JVM or Python on Spark, operate ML models with the data science team, and drive improvements in precision, recall and cost efficiency.Join a cross?functional team focused on data lakes, lakehouses, and cloud deployments (AWS/GCP) in a fast?moving environment.Strong English communication is essential for day?to?day collaboration.#J-*****-Ljbffr

Requirements

You will own data pipelines with JVM or Python on Spark, operate ML models with the data science team, and drive improvements in precision, recall and cost efficiency. Join a cross?functional team focused on data lakes, lakehouses, and cloud deployments (AWS/GCP) in a fast?moving environment. Strong English communication is essential for day?to?day collaboration. #J-*****-Ljbffr

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Apply on www.buscojobs.com.es
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

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2:34 min

Capabilities of the Apache Spark processing engine

Ayon Roy · LIVE

3:14 min

Structuring career paths and localized data architectures

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The governance failures of centralized data lakes

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Options for database machine learning integration architectures

Akmal Chaudhri Akmal Chaudhri · LIVE

2:21 min

Providing researchers with on-demand analytics environments

Jeremy Murray Jeremy Murray · World Congress 2026 Europe

6:24 min

Distributed data lakes and containerized computing clusters

Ulrich Wurstbauer +1 · LIVE

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World Congress 2024 • about 2 years ago

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Building the platform for providing ML predictions based on real-time player activity

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43:57
LIVE • almost 6 years ago

Alibaba Big Data and Machine Learning Technology

Qiyang Duan

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37:21
LIVE • over 5 years ago

The Data Mesh as the end of the Datalake as we know it

Mario Meir-Huber

Let's Get Aggregated: Custom UDAFs in Spark thumbnail
19:58
World Congress 2025 • about 1 year ago

Let's Get Aggregated: Custom UDAFs in Spark

Nikolai Nikolaev

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