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Senior Data Engineer: Big Data, Spark & Data Platforms

Ookla
Álava, Spain
20 days 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

Big Data Information Engineering Apache Spark Build Tools Data Management

Job description

Ookla, an Accenture company, is seeking a Senior Data Engineer to join the Data Engineering team and help process the world’s best collection of data on mobile and fixed internet performance. You will build tools, libraries and pipelines to support data scientists and analysts across platforms like Spark, Redshift, and Airflow.You should have a strong data-focused programming background and be passionate about accuracy and performance, with a willingness to mentor teammates while delivering#J-*****-Ljbffr

Requirements

You should have a strong data-focused programming background and be passionate about accuracy and performance, with a willingness to mentor teammates while delivering #J-*****-Ljbffr

About the company

Ookla, an Accenture company, is seeking a Senior Data Engineer to join the Data Engineering team and help process the world’s best collection of data on mobile and fixed internet performance. You will build tools, libraries and pipelines to support data scientists and analysts across platforms like Spark, Redshift, and Airflow.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

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

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

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Defining big data and machine learning fundamentals

Ayon Roy · LIVE

48 sec

Exploring alternative build tools and experimental web components

Sasha Shynkevich · LIVE

2:04 min

Comparing offline data analytics with online stream processing

Artem Volk Artem Volk +1 · World Congress 2024

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

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PySpark - Combining Machine Learning & Big Data

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LIVE • almost 6 years ago

Alibaba Big Data and Machine Learning Technology

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29:25
World Congress 2024 • about 2 years ago

Modern Data Architectures need Software Engineering

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19:58
World Congress 2025 • about 1 year ago

Let's Get Aggregated: Custom UDAFs in Spark

Nikolai Nikolaev

Why and when should we consider Stream Processing frameworks in our solutions thumbnail
30:51
World Congress 2024 • about 2 years ago

Why and when should we consider Stream Processing frameworks in our solutions

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Enjoying SQL data pipelines with dbt thumbnail
26:53
World Congress 2023 • almost 3 years ago

Enjoying SQL data pipelines with dbt

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