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Senior Data Engineer

Salary undisclosed

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Description

Responsibilities:

  • Design, build, and maintain scalable data pipelines to enable real-time and batch data processing.
  • Collaborate with data scientists and analysts to understand data requirements and deliver solutions.
  • Optimize and enhance data storage solutions, including data lakes and data warehouses.
  • Ensure data quality and integrity by implementing appropriate testing and monitoring strategies.
  • Conduct data profiling and analysis to improve data structure and accessibility.
  • Stay abreast of industry trends and evaluate new data technologies and architectures.
  • Participate in architectural reviews and provide input on system design.

Requirements

Requirements:

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • 5+ years of experience in data engineering or a related role.
  • Proficiency in SQL and databases (e.g., MySQL, PostgreSQL, or NoSQL solutions like MongoDB).
  • Experience with data processing frameworks such as Apache Spark or Hadoop.
  • Solid understanding of ETL processes and tools (e.g., Airflow, Talend).
  • Familiarity with cloud platforms (AWS, GCP, or Azure) for data management.
  • Strong programming skills in Python, Java, or Scala.
  • Exceptional analytical and problem-solving abilities.
  • Excellent communication skills and a collaborative mindset.

(EA Reg No: 20C0312)

Please email a copy of your detailed resume to [email protected] for immediate processing.

Only shortlisted candidates will be notified.

Benefits

  • Permanent role