Data Engineer at Ascentech Services Limited

Job Overview

Location
Lagos, Lagos
Job Type
Full Time
Date Posted
12 days ago

Additional Details

Job ID
126057
Job Views
30

Job Description






Job Summary




  • We are seeking a skilled and experienced Data Engineer to join our Data and Analytics team. The ideal candidate will have a strong background in building and maintaining scalable data pipelines, optimizing data flow, and working with various data infrastructure technologies. 

  • This role is critical in ensuring the seamless integration and accessibility of data across the organization, enabling data-driven decisionmaking and insights.



Key Responsibilities

Data Pipeline Development:




  • Design, build, and maintain scalable data pipelines to support various data processing and analytics needs.

  •  Develop and implement ETL (Extract, Transform, Load) processes to consolidate data from multiple sources.



Data Integration and Management:




  • Integrate data from various internal and external sources, ensuring data accuracy and consistency.

  • Manage and optimize data storage solutions, including databases and data warehouses.



Data Quality and Governance:




  • Ensure data quality and integrity by implementing data validation and cleansing procedures.

  • Adhere to data governance and security policies, maintaining compliance with regulatory requirements.



Collaboration and Support:




  • Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.

  • Provide support and troubleshooting for data-related issues and system performance.



Continuous Improvement:




  • Stay updated with the latest industry trends and best practices in data engineering and analytics.

  • Continuously optimize and enhance data pipelines and infrastructure for performance and scalability.



Qualifications

Education:




  • Bachelor’s Degree in Computer Science, Information Technology, Engineering, or a related field (First Class preferably)

  • Master’s degree or relevant certification in data engineering, data science, or big data technologies is a plus.



Experience:




  • 2+ years of experience in data engineering or related roles.

  • Proven track record of designing and implementing data pipelines and ETL processes.



Technical Skills:




  • Proficiency in programming languages such as Python, Java, or Scala.

  • Strong knowledge of SQL and experience with relational databases (e.g.,MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).

  • Experience with data processing frameworks and tools such as Apache Spark, Hadoop, or Kafka.

  • Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud) for data storage and processing.



Analytical Skills:




  • Excellent problem-solving skills and attention to detail.

  • Ability to work with large datasets and perform data analysis to derive insights.



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