Data Engineer | TMB

Warsaw - Poland

Monthly Salary: Not Disclosed

Posted on: 7 hours ago

Vacancies: 1 Vacancy

Job Summary

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.
Bachelors or Masters 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: Work :
No

Employment Type :
Full-time

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 co...

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.
Bachelors or Masters 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: Work :
No

Employment Type :
Full-time

Key Skills

Apache Hive
S3
Hadoop
Redshift
Spark
AWS
Apache Pig
NoSQL
Big Data
Data Warehouse
Kafka
Scala

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About Company

Inetum

Inetum is a European leader in digital services. Inetums team of 28,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetums solutions aim at contributing to its clients performance and innovation as well ... View more

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