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Big Data Engineer

https://www.citi.com/ Logo

Citi

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Location:
India, Chennai

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

Responsible for designing, developing, and optimizing data processing solutions using Big Data technologies. Focus on building scalable and efficient data pipelines for handling large datasets and enabling batch & real-time data streaming and processing.

Job Responsibility:

  • Develop Spark applications using Scala or Python (Pyspark) for data transformation, aggregation, and analysis
  • Develop and maintain Kafka-based data pipelines including designing Kafka Streams and setting up Kafka Clusters
  • Create and optimize Spark applications using Scala and PySpark
  • Integrate Kafka with Spark for real-time processing
  • Collaborate with data teams including data engineers, data scientists, and DevOps to design and implement data solutions
  • Tune and optimize Spark and Kafka clusters for high performance, scalability, and efficiency
  • Write clean, functional, and optimized code adhering to coding standards
  • Troubleshoot and resolve issues related to Kafka and Spark applications
  • Maintain documentation for Kafka configurations, Spark jobs, and other processes
  • Stay updated on technology trends in functional programming, big data, and related technologies

Requirements:

  • Proficiency in Hadoop ecosystem big data tech stack (HDFS, YARN, MapReduce, Hive, Impala)
  • Proficiency in Spark (Scala, Python) for data processing and analysis
  • Proficiency in Kafka for real-time data ingestion and processing
  • Knowledge of ETL processes and data ingestion tools
  • Deep hands-on expertise in Pyspark, Scala, Kafka
  • Programming Languages: Scala, Python, or Java for developing Spark applications
  • SQL for data querying and analysis
  • Data warehousing concepts
  • Linux/Unix operating systems
  • Problem-solving and analytical skills
  • Version control systems

Additional Information:

Job Posted:
September 12, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:
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