Job Description
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Must-Have Skills:
• 6+ years of experience in Data Engineering
• Strong expertise in PySpark or Python
• Hands-on experience with Hadoop, Spark, Hive
• Experience with AWS Glue, AWS EMR
• Experience with GCP Dataproc and GCP BigQuery
• Strong ETL and SQL development experience
• Experience in building scalable and high-performance data pipelines
• Strong understanding of cloud-based data processing and optimization
Good-to-Have Skills:
• Experience with Airflow or scheduling/orchestration tools
• Exposure to Kafka or streaming technologies
• CI/CD pipeline knowledge
• Knowledge of Docker/Kubernetes
• Experience in Agile/Scrum environment
• Understanding of data warehousing concepts