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Key Responsibilities
* Design, develop, and optimize data pipelines and ETL processes.
* Implement scalable big data solutions using AWS, Spark, Scala, Java, and Airflow.
* Collaborate with data scientists and analysts to ensure efficient data processing and analysis.
* Maintain and improve data architecture, ensuring reliability and performance.
* Troubleshoot and resolve data quality and performance issues in existing pipelines.
* Ensure best practices for security, compliance, and governance in data engineering.
Qualifications & Requirements
* Proficiency in AWS cloud services (Lambda, S3, Redshift, Glue, etc.).
* Strong experience with Spark for large-scale data processing.
* Expertise in Scala and Java for backend data engineering.
* Hands-on experience with Airflow for workflow automation.
Soft Skills
* Excellent communication skills in English (B2 Medium+ to C1 Advanced).
Additional Details
* Seniority level: Mid-Senior level
* Employment type: Full-time
* Job function: Information Technology
* Industry: Software Development
This job posting is active.
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