1 month ago

Data Engineer - Python

Orange Services

On Site
Full Time
$85,000
Bucharest, Romania
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Job Overview

Job TitleData Engineer - Python
Job TypeFull Time
Offered Salary$85,000
LocationBucharest, Romania
Map of Bucharest, Romania

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Job Description

About Orange Services

Orange Services is a major IT Hub within Orange Group, working internationally on IT & Business Solutions. We offer a unique combination of know-how and expertise to support corporate functions and country operations.

About the Role & Team

Join our HomeLAN team, responsible for building, maintaining, and operating a software solution that manages around 11 million Customer Premises Equipment (CPE) devices. The Analytics team within HomeLAN focuses on data collection, storage, processing, and providing operational and business dashboards. As data volumes grow, we need to optimize our overall data processing capabilities.

What You'll Do

As a Data Engineer, you will collaborate with the Analytics team to develop and enhance our analytics platform. Your responsibilities will include:

  • Writing data processing scripts.
  • Orchestrating and organizing scripts to generate required results.
  • Acquiring, ingesting, and processing data from multiple sources.
  • Designing and implementing data engineering processes using ETL tools, Spark jobs, and SQL.
  • Processing both structured and unstructured data.
  • Aligning with customer development teams on interfaces and solutions.
  • Conducting performance testing for implemented solutions.
  • Applying Information Security standards and best practices.
  • Maintaining technical skills and collaborating with the technical community.

What You'll Need

  • Significant experience with large data sets, preferably telecom data.
  • Strong understanding of SQL and experience in data warehouse solutions.
  • Experience in ETL process design and data flow optimization.
  • Proficiency in Python (pySpark).
  • Experience with Apache Spark (streaming and batch) and Kafka.
  • Knowledge of NoSQL databases and working with structured/unstructured data.
  • Experience with BI reporting tools like Grafana.
  • Basic knowledge of Linux systems.
  • 3 years of experience in development, service integration, or systems acceptance.
  • Excellent English communication skills.

Nice to Haves

  • Experience tuning complex DWH/BI environments.
  • Bash scripting skills.
  • Experience in software architecture, packaging, and versioning.
  • Familiarity with automation deployment tools (Chef, Ansible).
  • Experience with Oozie or Airflow.
  • Basic networking concepts.
  • Experience with public cloud infrastructure (GCP).
  • Java and SQL scripting experience.
  • French language proficiency.

What's In It For You

  • Performance Bonuses
  • Electronic Meal Tickets
  • Comprehensive Medical & Life Insurance
  • Remote Work & Flexible Hours
  • GSM Subscriptions (Professional & Personal)
  • Discounts on Smartphones & Orange Products/Services
  • Extensive Development Platforms (Learning, Trainings, Coaching)
  • Wellbeing Programs

About Orange Services

Orange Services is a #TopEmployer company focused on connecting people and technology. We foster a supportive environment with great colleagues and team spirit, ideal for professional development. Apply and let's have a remote talk.

Diversity & Inclusion

We encourage all candidate profiles, regardless of gender, age, race, citizenship, ethnicity, color, language, religion, social origin, genetic traits, sexual orientation, permanent or temporary disability, nationality, political choice, social category or social origins, situation or family responsibility, belonging to a disadvantaged category, membership or trade union activity.

Key skills/competency

Data Engineer, Python, pySpark, SQL, ETL, Apache Spark, Kafka, NoSQL, Data Warehousing, Data Processing

Tags:

Data Engineer
Python
pySpark
SQL
ETL
Apache Spark
Kafka
NoSQL
Data Warehousing
Data Processing
Big Data
Telecom Data
Grafana
Linux
Cloud
Remote

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How to Get Hired at Orange Services

  • Tailor your resume: Highlight Python, Spark, Kafka, and SQL experience.
  • Showcase data projects: Detail your work with large datasets and ETL processes.
  • Prepare for technical questions: Be ready to discuss data modeling and processing logic.
  • Demonstrate problem-solving: Prepare examples of optimizing data flows.
  • Emphasize collaboration: Highlight your ability to work with diverse teams.

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