Data Engineer - Automation and Innovation Department

Data Engineer - Automation and Innovation Department

T-Mobile

Hybrid
Arbeitsvertrag

Hexjobs Insights

Data Engineer needed at T-Mobile to develop data pipelines, ensure data quality, and implement governance. Requires 3+ years of data experience and expertise in SQL, Python, and cloud services.

Schlüsselwörter

data ingestion
data pipelines
data governance
SQL
Python
cloud platforms
Hadoop
ETL processes
real-time data processing

Vorteile

  • Umowa o pracę
  • Dodatkowy dzień wolny z okazji urodzin/ imienin
  • Pakiet medyczny i ubezpieczenie na życie
  • Platforma benefitowa
  • Dostęp do platform szkoleniowych
  • Benefity związane z produktami i usługami

Technologie, których używamy

O projekcie

Twój zakres obowiązków

  • Build and maintain data ingestion processes from various sources into the Data Lake.
  • Design, develop, and optimize complex data pipelines for reliable data flow.
  • Build, develop, and maintain frameworks that facilitate the construction of data pipelines.
  • Implement end-to-end testing frameworks for data pipelines.
  • Collaborate with data analysts and scientists to ensure the delivery of quality data.
  • Ensure robust data governance, security, and compliance practices.
  • Explore and implement emerging technologies to improve data pipeline performance.
  • Utilize and integrate data from various source system types, including Kafka, MQ, SFTP, databases, APIs, and file shares

Nasze wymagania

  • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or a related field.
  • Minimum 3 years of experience as a Data Analyst or Data Quality Analyst in a data-driven organization.
  • Proven experience in data quality management and data governance practices.
  • Strong database expertise, including advanced SQL and PL/SQL.
  • Proficiency in Python, with experience in Scala as a plus.
  • Proficiency in cloud platforms and services (preferably GCP).
  • Experience with Linux and bash scripting.
  • Solid understanding of Cloudera Hadoop technology stack (Apache Spark, Apache Kafka).
  • Knowledge of data handling principles, including ETL processes and real-time data processing.

Mile widziane

  • Experience with CI/CD pipelines and automation tools.
  • Strong understanding of data governance principles, including metadata management and data quality frameworks.
  • Ability to work with and understand various source system types (Kafka, MQ, SFTP, databases, APIs, file shares).
  • Experience in international or multi-country data projects is preferred.
  • Strong communication skills to translate technical findings into business-oriented insights.
  • Fluent in English, both written and spoken.
  • Self-starter with a continuous learning mindset and strong attention to detail.

To oferujemy

  • Umowa o pracę
  • Dodatkowy dzień wolny z okazji urodzin/ imienin
  • Pakiet medyczny i ubezpieczenie na życie
  • Platforma benefitowa - Ty wybierasz z czego korzystasz
  • Dostęp do platform szkoleniowych, które podniosą Twoją wiedzę
  • Znam Talent – szkolenia lub pieniądze za polecenie znajomych do pracy 😊!
  • Poza tym możesz u nas liczyć na dostęp do naszych produktów i usług na preferencyjnych warunkach oraz benefity, o których przeczytasz poniżej

Benefity

Aufrufe: 10
Veröffentlichtvor 24 Tagen
Läuft abin 6 Tagen
Art des VertragsArbeitsvertrag
ArbeitsmodusHybrid

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