## **Company Description**

3T Solutions is a specialized provider of Big Data Managed Services. We empower organizations to unlock the full potential of their data through scalable, secure, and high-performance data platforms. Our expertise enables businesses to optimize and leverage their data for strategic insights and decision-making.

## **Role Description**

This is a full-time on-site role for a Big Data Engineer, located in Algiers. The Big Data Engineer will be responsible for designing, developing, and optimizing scalable data pipelines and data warehousing solutions. The role involves implementing ETL processes, ensuring data quality, and developing software solutions for data processing and analysis.

## **Qualifications**

* Experience in Data Engineering and Big Data platforms
* Proficiency in Extract Transform Load (ETL) processes and Data Warehousing
* Software Development skills for data processing and analysis
* Strong problem-solving and analytical skills
* Excellent written and verbal communication skills
* Bachelor's degree in Computer Science, Information Technology, or a related field
* Familiarity with cloud-based data platforms is a plus
* Ability to work on-site in Algiers



3T Solutions is a specialized provider of Big Data Managed Services. We empower organizations to unlock the full potential of their data through scalable, secure, and high-performance data platforms. Our expertise enables businesses to optimize and leverage their data for strategic insights and decision-making.

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3T Solutions

Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed.

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The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.

Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

PostgreSQL is an advanced object-relational database management system
that supports an extended subset of the SQL standard, including
transactions, foreign keys, subqueries, triggers, user-defined types
and functions.

Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.