Qureos

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Assistant Manager - Data Engineering

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About The Role

We are seeking a skilled Data Engineer to design, build, and optimize scalable data pipelines and infrastructure that empower data-driven decision-making across the organization. The ideal candidate will have strong expertise in Spark streaming and modern data engineering tools, with a focus on developing reliable, high-performance data systems.

Responsibilities

  • Design, develop, and maintain robust ETL/ELT data pipelines using modern data engineering frameworks.
  • Implement data integration tests and quality checks to ensure data integrity.
  • Optimize data processing and pipeline performance to support real-time and batch workloads.
  • Develop and maintain real-time and near real-time streaming pipelines using Apache Flink and Apache Kafka.
  • Collaborate with platform and source teams to enhance data architecture and reliability.
  • Manage data pipeline releases, including code reviews, approvals, and CI/CD automation.
  • Document data models, metadata, schemas, and development best practices.
  • Work with global cross-functional teams to design and implement scalable data products that meet business needs.
  • Continuously evaluate and adopt new technologies to improve data engineering efficiency and scalability.

Require Skills

  • Education and Experience Bachelor’s or higher degree in Computer Science, Software Engineering, or a related field.
  • 5+ years of experience in data engineering or software engineering roles.
  • Proven experience in Python & Java
  • Proven experience building and maintaining production-grade data pipelines.
  • Expertise in Spark SQL and hands-on experience with Apache Kafka, Apache Flink, and related streaming technologies.
  • Experience with Hadoop ecosystem tools (SparkSQL, Hive, HDFS, MapReduce, etc.).

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

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