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Remote Spark Backend Engineer - Data Pipelines

Talan SAS
Spain
about 1 month ago

Role details

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

Tech stack

Java (Programming Language) Python (Programming Language) Data Processing Apache Spark Data Pipelines

Job description

Talan is seeking a Mid-Level Backend Spark Developer to join their data engineering team, responsible for developing and maintaining data processing solutions using Apache Spark.

You will work closely with cross-functional teams to analyze requirements and build scalable data pipelines while contributing to the continuous improvement of the data platform.

Requirements

The role requires 1.5 to 2 years of experience in backend programming, strong SQL knowledge, and proficiency in Java or Scala/Python. The position is 100% remote, with full-time availability in the Spain time zone.

Apply for this position

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

Apply on www.jobleads.com

Good distractions

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

Moments

Explore playlists

2:34 min

Capabilities of the Apache Spark processing engine

Ayon Roy ¡ LIVE

6:08 min

Applying software engineering environments and testing to data pipelines

Matthias Niehoff Matthias Niehoff ¡ WWC 2024

2:10 min

Defining stream data processing versus standard event processing

Soroosh Khodami Soroosh Khodami ¡ WWC 2024

1:41 min

Visualizing the complex developer journey for JVM ecosystems

Bobur Umurzokov ¡ LIVE

2:04 min

Comparing offline data analytics with online stream processing

Artem Volk Artem Volk +1 ¡ WWC 2024

47 sec

Building modern data pipelines for legacy exports

Dr. Alexander Wachtel Dr. Alexander Wachtel +1 ¡ WWC 2025

Videos

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34:00
LIVE • over 5 years ago

Implementing continuous delivery in a data processing pipeline

Álvaro Martín Lozano

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

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

Soroosh Khodami

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43:26
LIVE • almost 6 years ago

PySpark - Combining Machine Learning & Big Data

Ayon Roy

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

Enjoying SQL data pipelines with dbt

Matthias Niehoff

Python-Based Data Streaming Pipelines Within Minutes thumbnail
39:04
LIVE • almost 2 years ago

Python-Based Data Streaming Pipelines Within Minutes

Bobur Umurzokov

Let's Get Aggregated: Custom UDAFs in Spark thumbnail
19:58
WWC 2025 • 12 months ago

Let's Get Aggregated: Custom UDAFs in Spark

Nikolai Nikolaev

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