• Design, develop, and maintain data architecture, pipelines, and storage solutions 
• Build and optimize ETL processes for data extraction, transformation, and loading 
• Automate data workflows and improve data pipeline efficiency 
• Work with Big Data technologies and cloud-based data platforms 
• Collaborate with business and analytics teams to develop data-driven solutions 
• Prepare and load necessary data into Data Warehouses and Data Lakes 
• Assess, validate, and improve data quality by implementing necessary processes with relevant stakeholders 
• Develop and implement data systems and pipelines to support data analysis needs 
• Enhance and maintain data analytics platforms

• Bachelor’s degree or higher in Computer Science, Information Technology, Software Engineering, or a related field 
• Strong knowledge of database management and SQL (PostgreSQL, MySQL, SQL Server, etc.) 
• Proficiency in programming languages such as Python, Java, or Scala 
• Experience with data processing frameworks (Apache Spark, Hadoop, Airflow, Kafka, etc.) 
• Familiarity with cloud platforms (AWS, GCP, Azure) for data processing and management 
• At least 2 years of experience in data engineering or ETL development 
• Strong problem-solving skills and ability to work both independently and in a team 
• Passion for learning new technologies and staying up to date with industry trends 

We Offer:

• Competitive salary and benefits package.
• Collaborative and innovative work environment.
• Opportunities for professional development and growth.