Data Engineer

Job Description
Job Title:Data Engineer

Key Responsibilities:

• Design, build, and maintain reliable, scalable, and secure data pipelines.
  

• Develop ETL/ELT processes for data ingestion, transformation, and integration from multiple sources.
  

• Collaborate with data scientists, analysts, and business teams to ensure data availability and quality.
  

• Implement best practices for data governance, security, and compliance.
  

• Optimize database queries and ensure efficient data storage solutions.
  

• Monitor and troubleshoot data pipelines to ensure high availability and performance.
  

• Work with big data tools and cloud-based platforms to handle large-scale datasets.
  

• Prepare and maintain documentation of data architecture, flows, and processes.
  

Essential Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field.
  

• Proven experience as a Data Engineer, Data Integration Specialist, or in a similar role.
  

• Strong understanding of database systems (SQL, NoSQL).
  

• Hands-on experience with ETL tools and data pipeline frameworks.
  

• Experience working with cloud platforms such as AWS, Azure, or Google Cloud.
  

Skills Required:

• Proficiency in SQL and data modelling techniques.
  

• Programming experience with Python, Java, or Scala.
  

• Familiarity with big data technologies (Shadoof, Spark, Kafka).
  

• Knowledge of APIs, data streaming, and real-time data processing.
  

• Strong problem-solving skills and attention to detail.
  

• Good understanding of data governance, privacy, and security standards.
  

• Ability to work collaboratively in cross-functional teams.