about-project :

responsibilities :

Design, develop and implement data solutions that acquire, transform and optimize data from diverse sources.
Design and build scalable and optimize data pipelines to enable for data ingestion, transformation, and storage.
Ensure data quality and integrity by implementing data validation and cleansing processes.
Contribute to the development of data models and data architecture.
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Manage and maintain HDFS for distributed storage of large datasets.
Perform data transformations and aggregations to support analytical and reporting requirements.
Identify and resolve issues related to data processing and storage.

requirements-expected :

Bachelor’s degree in Computer Science, Information Technology or a related field. Masters degree preferred.
Proven experience as a Data Engineer with a strong focus on Hadoop and HDFS.
Proficiency in Hadoop ecosystem tools such as Hive, Pig, Flume, Oozie, and Sqoop.
Experience with data processing frameworks like Apache Spark.
Strong skills in relational databases with experience in SQL development.
Knowledge of data warehousing concepts and database technologies.
Excellent problem-solving skills and the ability to troubleshoot complex data issues.

offered :

Interesting and stable development projects and long-term cooperation.
Attractive remuneration in the B2B model depending on competences and experience.
Co-financing of private medical care (Medicover) and Multisport card.
Occasional company integration meetings.
Referral program.
Emagine mobile application – easy reporting of working time, quick access to new offers.

benefits :

responsibilities :