Hiring Data Engineers | Junior - Senior

We're looking for Data Engineers at different experience levels to join our team and build scalable, reliable data solutions. If you have hands-on experience with Spark and a background in AWS or Databricks, we'd love to hear from you!
Key Responsibilities
Design, develop, and maintain data pipelines for data ingestion, transformation, and processing.
Use
Apache Spark / PySpark to process and transform large datasets.
Develop and optimize ETL/ELT workflows to ensure data quality and performance.
Build and maintain data solutions using
AWS and/or Databricks
.
Troubleshoot data pipeline issues and improve processing efficiency.
Collaborate with team members to deliver reliable and scalable data solutions.
Requirements (Must-have)
Hands-on experience in
Data Engineering or a related field, with experience appropriate to the target level.
Good working knowledge of
Apache Spark / PySpark and distributed data processing concepts.
Experience with at least one of the following:
AWS data services or cloud-based data processing.
Databricks for data processing and pipeline development.
Proficiency in
SQL and a good understanding of ETL/ELT concepts.
Strong analytical and problem-solving skills.
Nice-to-have
Experience with AWS services such as
S3, Glue, EMR, or Redshift
.
Experience with
Delta Lake, Lakehouse architecture
, or data lake solutions.
Knowledge of data pipeline orchestration, monitoring, and performance optimization.
Experience with Python for data processing and automation.
Good English communication skills.
Benefits
Competitive compensation: Attractive salary package with a 14-month salary scheme, annual bonus, and additional allowances, subject to company policies and performance.
Career growth: Regular training, professional development, and opportunities to enhance both technical and soft skills.
Modern technologies: Hands-on experience with cutting-edge technologies and large-scale international projects.
Performance recognition: Salary reviews twice a year or based on outstanding performance, subject to company policies.
International opportunities: Opportunities for short-term and long-term onsite assignments in international markets, depending on project requirements.
Healthcare & insurance: Social insurance and additional healthcare benefits in accordance with company policies.
Work-life balance: Annual leave, company trips, team-building activities, sports events, and engaging company celebrations.
Dynamic environment: Work with talented professionals in an open, collaborative, and technology-driven environment.
Interested candidates, please send your CV to [protected info]