Senior Data Engineer - Threat Intelligence

5 - 10 years

11 - 15 Lacs

Posted:1 week ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

You Will:
  • Design and implement distributed, fault-tolerant data pipelines for real-time and batch processing.
  • Build scalable microservices and APIs using Python or Go .
  • Develop and optimize ETL/ELT workflows using Spark , Flink and orchestration tools like Airflow or AWS Step Functions .
  • Work with big data technologies including Databricks , Athena , Iceberg , and Trino .
  • Implement data streaming and event-driven architectures using Kafka , Kinesis , SQS/SNS , etc.
  • Manage and optimize data storage using Parquet , ORC , Avro , and query engines like Presto and Athena .
  • Deploy infrastructure and pipelines using Terraform , CloudFormation, Jenkins and other CI/CD tools.
  • Collaborate with cross-functional teams to define data infrastructure requirements and deliver robust solutions.
  • Contribute to LLM workflows and prompt engineering using platforms like AWS Bedrock .
  • Continuously improve data availability, quality, and performance for ML and analytics workloads.
About You:
  • 5+ years of experience in data engineering, with a strong focus on scalable backend systems.
  • Proficiency in SQL , PostgreSQL , and big data platforms like Spark and Databricks .
  • Hands-on experience with cloud-native data infrastructure, especially AWS .
  • Expertise in building and maintaining data lakes and optimized storage formats.
  • Strong programming skills in Python , Go , Java , or Scala .
  • Experience with CI/CD and infrastructure-as-code tools.
  • Familiarity with cybersecurity concepts and data science workflows is a plus.
  • A collaborative mindset and a passion for solving complex data challenges.

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