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Posted 6 months ago
Requirements and responsibilities
We are looking for an experienced Big Data Engineer to join our team and help build scalable, high-performing data systems.
Key Responsibilities:
• Design and maintain scalable, fault-tolerant data pipelines
• Build and optimize ETL workflows
• Work with batch and real-time streaming data
• Ensure data quality, integrity, and security
• Collaborate with BI, product, and data science teams
• Monitor and tune big data systems for performance
Requirements:
• 5–7 years of experience in Data/Big Data Engineering
• Strong SQL + experience in Python / Java / Scala
• Hands-on with Hadoop, Spark, Hive, Presto
• Experience with AWS (S3, Redshift, EMR, Glue, Athena, Kinesis)
• Knowledge of Kafka, Flink, or Spark Streaming (preferred)
If you’re passionate about building large-scale data solutions and want to work with advanced big-data technologies — we’d love to connect!
Optionally, you can add more information later (benefits, pre-screening questions, etc.)