Data Engineer
Job Description
A Data Engineer designs, builds, and maintains scalable data infrastructure to support analytics and business intelligence processes. The role involves developing efficient data pipelines, integrating multiple data sources, and ensuring data accuracy, security, and accessibility. Data Engineers work closely with data scientists, analysts, and developers to optimize data workflows, improve system performance, and enable informed decision-making through reliable, real-time, and well-structured data systems.
Key Responsibilities
- Design, build, and maintain scalable data pipelines and architectures.
- Integrate structured and unstructured data from multiple reliable sources.
- Optimize data storage, retrieval, and transformation for faster access.
- Collaborate with data scientists to support analytical model deployment.
- Ensure data accuracy, consistency, and security across all systems.
- Implement data quality checks and performance monitoring processes regularly.
- Develop and manage ETL workflows for real-time data processing.
- Document data flow processes and maintain comprehensive technical documentation.
Skill & Experience
- Proficiency in SQL, Python, and distributed data processing frameworks.
- Strong understanding of ETL tools and data integration techniques.
- Experience with cloud platforms like AWS, Azure, or Google Cloud.
- Knowledge of database management systems and data warehousing solutions.
- Problem-solving mindset with strong analytical and troubleshooting abilities.
- Familiarity with big data technologies like Hadoop, Spark, or Kafka.
Note: Salary is disbursed in the local currency of the country of employment.
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