Data Engineer

Job Description:

We are looking for a skilled and motivated Data Engineer to join our dynamic team. As a Data Engineer, you will be responsible for designing, developing, and maintaining the infrastructure required for efficient collection, storage, and analysis of large-scale data sets. You will work closely with data scientists, analysts, and other stakeholders to ensure data availability, reliability, and performance, enabling the organization to make informed decisions.

Key Responsibilities:

1. Data Infrastructure Development:
   • Design, build, and maintain scalable data pipelines to ingest, process, and transform large datasets from multiple sources.
   • Implement data storage solutions, such as data lakes, warehouses, and cloud-based systems, ensuring they meet business needs.
2. Data Management & Governance:
   • Develop and maintain ETL (Extract, Transform, Load) processes for moving data between systems.
   • Ensure data integrity, quality, and consistency across platforms, implementing best practices for data governance.
3. Collaboration & Integration:
   • Collaborate with data scientists, analysts, and other teams to understand their data requirements and translate them into technical solutions.
   • Integrate data from various internal and external data sources, including APIs, databases, and third-party systems.
4. Performance & Optimization:
   • Monitor data infrastructure performance, identifying areas for optimization and cost-saving opportunities.
   • Implement data partitioning, indexing, and optimization techniques to improve query and data processing performance.
5. Security & Compliance:
   • Ensure that data architecture meets all security and compliance requirements, including data privacy standards such as GDPR.
   • Develop and enforce policies for data access and usage, maintaining audit logs and other compliance records.
6. Innovation & Continuous Improvement:
   • Stay updated on emerging data engineering technologies, frameworks, and best practices.
   • Contribute to the improvement of data processes, automation, and tooling across the organization.