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We are looking for a Data Engineer to design, develop, and optimize scalable data solutions and pipelines supporting analytics, reporting, and business operations. The role focuses on building reliable cloud-based data infrastructure, ensuring data quality, and enabling efficient processing of large datasets in a modern data environment.
Job Responsibility:
Design, build, and maintain scalable data pipelines and ETL/ELT workflows
Develop and optimize data models and data warehouse solutions
Process and analyze large datasets to support business insights and decision-making
Ensure data quality, integrity, and validation across data platforms
Optimize data storage and processing for performance and scalability
Collaborate with cross-functional teams to identify and support data needs
Create dashboards, reports, and data visualizations for stakeholders
Support data governance and continuous improvement initiatives
Requirements:
Advanced SQL and Python skills (Scala is a plus)
Hands-on experience with AWS cloud services
Experience with ETL/ELT pipeline development
Strong understanding of data modeling and data warehousing concepts
Experience with big data technologies such as Spark, Kafka, or Hadoop
Familiarity with orchestration tools like Airflow
Strong analytical, problem-solving, and communication skills