I
Inetum
Data Engineer

Data Engineer | TMB

On-siteMidData Engineerposted 7mo ago
Role summaryAI-generated

This mid-level data engineer role at Inetum focuses on designing scalable data pipelines and frameworks to ingest, transform, and validate data from diverse sources like Kafka, MQ, and databases into a GCP-based Data Lake. The position emphasizes collaboration with analysts and scientists while ensuring robust security, compliance, and performance optimization.

Skills required

About this role

As a Data Engineer, you will be responsible for:

  • Building and maintaining processes for collecting data from various sources into the Data Lake.
  • Designing, developing, and optimizing complex data pipelines to ensure reliable data flow.
  • Creating, developing, and maintaining frameworks that facilitate the construction of data pipelines.
  • Implementing comprehensive testing frameworks for data pipelines.
  • Collaborating with analysts and data scientists to ensure the delivery of high-quality data.
  • Ensuring robust data management, security, and compliance practices.
  • Researching and implementing new technologies to improve data pipeline performance.
  • Leveraging and integrating data from various types of source systems, including Kafka, MQ, SFTP, databases, APIs, and file shares.

Qualifications

  • Proficiency in cloud platforms and services- GCP.
  • 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.
  • 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.

Nice to have:

  • 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).

Additional Information

  • Hybrid work- 3 times a week from the office in Warsaw.
  • We hereby inform you that Inetum Polska sp. z o.o. has implemented an internal reporting (whistleblowing) procedure. The content of the procedure and the possibility to submit an internal report are available at: https://inetum.whispli.com/speakup?locale=pl
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