Big Data Engineer

Big Data Engineer

Build scalable data pipelines and process large-scale datasets

Core Technical Expertise

• Strong knowledge of big data ecosystems and distributed systems
• Experience with data processing frameworks (Hadoop, Spark)
• Expertise in ETL pipelines and data engineering workflows
• Knowledge of data modeling and database design
• Experience with real-time data streaming

Tools Technologies

• Apache Hadoop, Apache Spark
• Kafka, Flink (stream processing)
• SQL / NoSQL databases (MySQL, MongoDB, Cassandra)
• Python / Java / Scala
• Cloud Platforms: AWS (EMR), Azure, Google Cloud

Responsibilities

• Design and maintain scalable data pipelines
• Process large datasets efficiently
• Work with data scientists and analysts
• Optimize data processing performance
• Ensure data quality and reliability

Soft Skills

• Strong analytical thinking
• Problem-solving mindset
• Attention to detail
• Team collaboration skills

Eligibility Conditions

• Minimum age: 18+
• Bachelor s in Computer Science, Data Engineering, or related field
• Experience with big data tools is required
• Hands-on project experience preferred
• Commitment to building scalable data systems

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