Senior Data Systems Engineer

17 hours ago

Karachi, Sindh, Pakistan beBeeDataEngineer Full time
Job Overview

The company is seeking an experienced data engineer to design, build, and optimize scalable data analytics systems and pipelines.

Responsibilities
  • We require the successful candidate to design and implement scalable data ingestion and processing workflows using Apache NiFi and Apache Spark.
  • The chosen candidate will optimize and maintain analytical databases such as Vertica and ClickHouse for high-performance querying on large datasets.
  • We expect the ideal candidate to administer and tune MySQL Server and MongoDB to ensure reliability, availability, and optimal performance.
  • The selected candidate will develop robust data models for both OLTP and OLAP systems to support analytics and operational use cases.
  • The chosen individual will build and manage distributed data architectures integrated with microservices, ensuring seamless and secure data access.
  • We require the candidate to apply advanced query optimization and data lifecycle management practices to enhance overall system efficiency.
  • The successful candidate will manage complex data pipelines and distributed systems that process 100 M+ row datasets across diverse platforms.
  • The ideal candidate will ensure optimal performance and availability of analytical databases (e.g., Vertica, ClickHouse) while balancing cost, speed, and storage efficiency in high-demand environments.
  • We expect the selected candidate to integrate data workflows within microservice-based architectures, maintaining data consistency, security, and low-latency access across teams and systems.
Qualifications
  • A bachelor's degree in Computer Science, Data Science, Data Engineering, Software Engineering, or a related field is required.
  • The successful candidate must have at least 5 years of professional experience in data engineering or software development focusing on large-scale data solutions.
Skills
  • Hands-on experience with Apache NiFi or Apache Spark for data ingestion and processing is essential.
  • Strong experience in MySQL Server and MongoDB database administration and optimization is necessary.
  • An in-depth understanding of Linux-based environments and shell scripting is required.
  • A strong knowledge of data modeling principles for both OLTP and OLAP systems is essential.
  • Experience building and optimizing distributed datastores for high availability and performance is necessary.
  • Familiarity with microservice architectures and their integration with data platforms is required.
  • Expertise in query optimization techniques to enhance system performance is essential.

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