Data Engineer

1 month ago

Lagos, Nigeria Interswitch Full time

Job Summary

  • To build reliable data integration solutions, clean, transform, and analyze vast amounts of big data from various systems using Spark and other ETL tools to provide ready-to-use datasets to data scientists and data analysts, while ensuring data quality and integrity. Collaborate with stakeholders to design scalable and efficient data solutions that enable informed decision-making, and compliance with data governance.

Responsibilities:

Data Ingestion and Extraction

  • Develop and implement efficient data ingestion pipelines to acquire and extract large volumes of structured and unstructured data.
  • Ensure data integrity and quality during the ingestion process.
  • Integrate various data sources and formats into a unified data ecosystem.

Data Processing and Transformation

  • Design and execute data processing workflows to clean, transform, and enrich raw data.
  • Develop scalable data processing algorithms and techniques to handle big data volumes efficiently.
  • Optimize data processing pipelines for performance and reliability.

Data Storage and Management

  • Create and maintain data storage architectures that cater to the specific needs of big data applications.
  • Implement robust data management strategies, including data partitioning, indexing, and compression techniques.
  • Ensure data security, privacy, and compliance with relevant regulations.

Data Analysis and Modeling

  • Collaborate with data scientists and analysts to understand their requirements and translate them into scalable data models.
  • Apply data visualization techniques to communicate insights effectively.

Performance Optimization

  • Identify and implement strategies to enhance the performance and efficiency of big data applications and systems.
  • Conduct performance tuning, load testing, and capacity planning to meet scalability and throughput requirements.
  • Monitor system performance and troubleshoot issues related to data processing, storage, and retrieval.

Data Governance and Compliance

  • Establish and enforce data governance policies, standards, and best practices.
  • Ensure compliance with data regulations, such as GDPR or HIPAA, by implementing appropriate data protection measures.
  • Conduct data audits and implement data quality controls to maintain data accuracy and consistency.

Collaboration and Communication

  • Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand their data requirements and provide technical support.
  • Communicate complex technical concepts and findings to non-technical stakeholders clearly and concisely.
  • Participate in knowledge-sharing activities and contribute to the continuous improvement of data engineering practices.

Documentation and Documentation

  • Document data engineering processes, workflows, and system architectures for future reference and knowledge transfer.
  • Prepare technical documentation, including data dictionaries, data lineage, and system specifications.
  • Create and maintain documentation related to data governance, compliance, and security protocols.

Education

Academic Qualifications:

  • BSc in Computer Science/Engineering or related field.

Evidence of strong industry/sector participation and relevant professional certifications such as:

  • Azure Data Engineer Associate
  • Databricks Certified Data Engineer Associate
  • Databricks Certified Data Engineer Professional
  • Amazon Web Services AWS Certified Data Analytics – Specialty
  • Cloudera Data Platform Generalist Certification
  • Data Science Council of America DASCA Associate Big Data Engineer
  • Data Science Council of America DASCA Senior Big Data Engineer
  • Google Professional Data Engineer
  • IBM Certified Solution Architect – Cloud Pak for Data v4.x
  • IBM Certified Solution Architect – Data Warehouse V1

Experience

  • At least 3 years developing, deploying, and managing robust ETL/ELT data solutions, preferably in a reputable Financial Institution or FinTech company.

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