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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, building efficient data pipelines for large datasets, and enabling batch and 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 or PySpark
  • Integrate Kafka with Spark for real-time processing
  • Collaborate with data teams to design and implement data solutions
  • Tune and optimize Spark and Kafka clusters
  • Write clean, functional, and optimized code, adhering to coding standards and best practices
  • 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
  • Experience with ETL processes and data ingestion tools
  • Deep hands-on expertise in Pyspark, Scala, Kafka
  • Expertise in programming languages such as Scala, Python, or Java for developing Spark applications
  • Proficiency in SQL for data querying and analysis
  • Knowledge of data warehousing concepts
  • Familiarity with Linux/Unix operating systems
  • Strong problem-solving and analytical skills
  • Experience with version control systems.

Additional Information:

Job Posted:
July 26, 2025

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