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Data Engineer

LiveMindz

 

Gurgaon, Haryana, India

Posted On: 6 days ago
Experience: 4+ years
Availability: Hybrid
Openings: 1
Category: Data Engineer
Tenure: Full-time Only
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Description

You will design and implement PySpark Structured Streaming applications to ingest data from Confluent Kafka topics into Apache Iceberg tables.

This role is hybrid.

Responsibilities

  • Build streaming pipelines that parse JSON and Avro payloads, apply schema mappings, and write atomically to Iceberg using the foreachBatch micro-batch pattern.
  • Configure Kafka source parameters including bootstrap servers, consumer group IDs, offset management, checkpoint paths, and trigger intervals.
  • Implement PII detection and Protegrity tokenization hooks within the ingestion pipeline before data lands in the Iceberg Bronze layer.
  • Write comprehensive unit and integration tests for row count validation, schema conformance, Kafka offset commit verification, and source data comparison.
  • Support UAT by walking engineers through the code, demonstrating the use of only supported Apache APIs, and addressing review findings.

Required Skills

  • 4+ years of hands-on experience with Apache Kafka (Producer & Consumer) in PySpark, Java, or Scala.
  • Deep understanding of Kafka internals: topics, partitions, consumer groups, offsets, rebalancing, and exactly-once delivery semantics.
  • Experience with Confluent Kafka: Schema Registry, Avro/JSON serialization, and Confluent Cloud or on-prem cluster configuration.
  • Strong practical experience with PySpark Structured Streaming: Kafka/file sources, foreachBatch, output modes, and checkpoint management.
  • Ability to tune streaming micro-batch trigger intervals, watermarking, and late data handling for production workloads.
  • Hands-on experience writing streaming data directly to Apache Iceberg tables using the Iceberg Spark runtime.
  • Implement robust error handling including dead-letter queues, parse error isolation, and recovery from checkpoint failures.
  • Working knowledge of Apache Iceberg catalog configuration, schema definition, append writes, and partition strategies.

Preferred Skills

  • Familiarity with S3-compatible object storage as an Iceberg warehouse destination and medallion architecture principles.

Education

Bachelor's degree

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