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Data Engineer
Responsibilities
- Design, build, and maintain scalable data pipelines and ETL workflows.
- Manage large datasets and optimize data infrastructure for performance and reliability.
- Automate workflows and improve data delivery processes.
- Collaborate with Product, Analytics, and Business teams to resolve data issues.
- Ensure data integrity, governance, and security across cloud environments.
- Develop analytics solutions to generate actionable business insights.
- Lead and mentor a small team of data engineers.
- Establish coding standards, conduct code reviews, and support best practices.
- Enhance scalability and efficiency of data systems and architectures.
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Continuously improve data platforms using modern technologies and frameworks.
- 6+ years of experience in Data Engineering and scalable data systems.
- Strong expertise in Python, SQL, Spark, Kafka, Airflow, and Databricks.
- Hands-on experience with AWS services such as EC2 and RDS.
- Proficient in PostgreSQL, MongoDB, and modern data modeling practices.
- Experience with REST APIs, GraphQL, SFTP, and workflow orchestration tools.
- Familiarity with SQLMesh, CI/CD pipelines, and cloud-based architectures.
- Knowledge of Streamlit, JavaScript, or TypeScript is a plus.
- Strong leadership, communication, and problem-solving abilities.
- Understanding of data governance, security, and scalable infrastructure.
- Experience with blockchain, cryptocurrency, or financial data is an added advantage.
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