Data Engineer: Build Scalable Pipelines Analytics

Role & Responsibilities

• Design, develop, and maintain scalable data pipelines and architectures to support analytical and operational processes.
• Collaborate with data analysts and scientists to implement data solutions that enable advanced analytics and reporting.
• Optimize data flows and queries for high performance and efficiency across cloud and on-premise environments.
• Build and manage data models, data sets, and repositories ensuring data integrity and security.
• Implement ETL processes using modern tools and frameworks to automate data ingestion and transformation.
• Monitor system performance, troubleshoot issues, and implement improvements to enhance reliability.

• Proficiency in Python and SQL
• Experience with Spark, Kafka, and other big data technologies
• Hands-on experience with cloud platforms, preferably AWS
• Strong understanding of ETL pipeline development and data warehousing concepts
• Excellent problem-solving and communication skills

• Knowledge of data governance and security practices
• Experience with containerization tools like Docker or Kubernetes
• Familiarity with machine learning data workflows

• Opportunity to work with cutting-edge data technologies in a collaborative environment
• Supportive culture fostering innovation and continuous learning
• Competitive compensation and benefits package