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Job Summary
- The Data Engineer is responsible for designing, building, and maintaining data pipelines and architectures that enable the collection, processing, and analysis of large datasets.
- The role ensures that data is clean, reliable, and accessible for business intelligence, analytics, and decision-making.
Key Responsibilities
Data Architecture & Pipeline Development:
- Design, develop, and maintain scalable ETL (Extract, Transform, Load) pipelines for structured and unstructured data.
- Build and optimize data architectures to support reporting, analytics, and machine learning use cases.
- Integrate data from various sources (databases, APIs, cloud systems, third-party tools).
Data Quality & Governance:
- Ensure data integrity, security, and compliance with company and industry standards.
- Monitor, troubleshoot, and resolve issues in data pipelines.
- Implement data validation and cleansing processes to maintain accuracy and consistency.
Collaboration & Support:
- Work closely with data scientists, analysts, and business teams to understand data needs.
- Provide support for analytics and reporting by ensuring data availability and reliability.
- Collaborate with DevOps/Cloud engineers to optimize data storage and processing performance.
Innovation & Optimization:
- Continuously improve data infrastructure for efficiency and scalability.
- Stay updated with emerging technologies in big data, cloud, and data engineering tools.
- Recommend and implement best practices for data modeling and database design.
Qualifications
- Education: B.Sc./B.Eng./M.Sc. in Computer Science, Data Science, Engineering, Information Systems, or a related field.
- Experience:
- Proven experience as a Data Engineer, ETL Developer, or similar role.
- Hands-on experience with SQL, Python, Spark, or Scala.
- Strong knowledge of data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
- Familiarity with cloud platforms (AWS, Azure, or GCP).
- Experience with workflow/orchestration tools (e.g., Airflow, Luigi).
- Skills:
- Strong problem-solving and analytical skills.
- Excellent communication and teamwork abilities.
- Knowledge of data governance, security, and compliance practices.
Method of Application
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