Data Engineer needed at Tezza Business Solutions Ltd

4 weeks ago

Job title : Data Engineer

Job Location : Lagos

Deadline : March 03, 2024

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Job Summary

  • We are seeking an experienced Data Engineer to join our dynamic IT team. As a Data Engineer, you will be responsible for designing, developing, and maintaining robust data architectures and pipelines.
  • The ideal candidate should have 3 to 5 years of relevant experience, a strong background in data engineering technologies, and a passion for optimizing data workflows.

Responsibilities

  • Collaborate with cross-functional IT teams to understand data requirements and architecture goals.
  • Design and develop scalable and efficient data pipelines for data processing and integration.
  • Implement ETL processes to transform raw data into usable formats for analysis and reporting.
  • Optimize and maintain database performance, ensuring data integrity and reliability.
  • Collaborate with data scientists and analysts to understand data needs and provide efficient solutions.
  • Design and implement data models, ensuring compatibility with business requirements.
  • Develop and maintain documentation for data engineering processes, workflows, and data dictionaries.
  • Collaborate with IT security teams to implement data privacy and compliance measures.
  • Stay updated on emerging trends and best practices in data engineering.
  • Participate in the planning and execution of data-related projects.

Requirements

  • Bachelor’s degree in computer science, Information Technology, or a related field.
  • 3 to 5 years of proven experience as a Data Engineer.
  • Proficiency in programming languages for data manipulation and transformation (e.g., Python, Scala).
  • Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
  • Strong knowledge of ETL tools and frameworks (e.g., Apache Spark, Apache Beam).
  • Proficient in SQL and database management (e.g., MySQL, PostgreSQL, or similar).
  • Familiarity with cloud-based data storage and processing platforms (e.g., AWS, Azure, or Google Cloud).
  • Excellent problem-solving and debugging skills.
  • Ability to collaborate effectively with cross-functional teams and communicate technical concepts to non-technical stakeholders.
  • Proactive attitude towards learning and staying updated on industry trends.

Preferred Qualifications

  • Master’s degree in computer science or a related field.
  • Certification in data engineering or related areas.
  • Experience with real-time data processing and streaming technologies.
  • Knowledge of data governance and compliance.
  • Familiarity with machine learning concepts and implementations.
  • Contribution to open-source data engineering projects or a strong portfolio of previous work.

How to Apply for this Offer

Interested and Qualified candidates should Click here to Apply Now

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