
Data Engineer
2 days ago
Key Responsibilities:
- Design, develop, and maintain scalable real-time / streaming ETL pipelines.
- Manage and optimize data workflows & pipelines using tools such as Pentaho PDI, AWS S3, AWS Redshift.
- Collaborate with cross-functional teams to ensure data integration and quality across the organization.
- Write complex SQL queries for data extraction, manipulation, and reporting.
- Develop automation solutions using Python to streamline data processes and enhance operational efficiency.
- Create and maintain data models, ensuring data consistency and accuracy across various systems.
- Troubleshoot and resolve issues related to data integration, pipeline failures, and system performance.
- Monitor, optimize, and improve data pipeline performance to ensure high availability and reliability.
- Work with cloud technologies, especially AWS, to store and process data at scale.
- Ensure data security and compliance standards are adhered to in all data processes.
Key Skills and Qualifications:
- 3-5 years of hands-on and proven experience as a Data Engineer or similar role.
- Experience with Streaming ETL (e.g., Apache Flink, Kafka, Spark, etc).
- Strong proficiency in SQL for querying and manipulating large datasets.
- In-depth experience with AWS Redshift or other cloud data platforms (e.g., AWS S3, EC2).
- Proficiency in Python for building data pipelines and automation.
- Solid understanding of data modeling, data warehousing, and ETL design patterns.
- Familiarity with data processing frameworks like Apache Kafka or Apache NiFi is a plus.
- Excellent problem-solving skills and the ability to troubleshoot complex data issues.
- Strong communication skills with the ability to collaborate across technical and business teams.
Preferred Qualifications:
- Bachelors or master's degree in computer science, Engineering, or a related field.
- Experience with other AWS services (e.g. Redshift Spectrum, Apache Flink, NiFi).
What We Offer:
- Competitive salary and benefits package.
- Opportunity to work in a dynamic, fast-paced environment.
- Access to cutting-edge tools and technologies.
- Collaborative team culture that values innovation and continuous learning.
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