About the Role:
We are looking for a skilled and detail-oriented Data Engineer to design, build, and maintain scalable data pipelines and architectures. The ideal candidate will support data-driven initiatives by ensuring data quality, availability, and reliability across systems.
Key Responsibilities:
- Design, develop, and maintain data pipelines (ETL/ELT processes)
- Build and optimize data architectures and data models for analytics and reporting
- Collect, process, and transform large datasets from multiple sources
- Ensure data quality, integrity, and governance standards
- Collaborate with data scientists, analysts, and business teams to deliver actionable insights
- Monitor and improve pipeline performance and troubleshoot data issues
- Implement and manage data storage solutions (data lakes, data warehouses)
- Work with cloud platforms (Azure, AWS, or GCP) for data engineering solutions
Required Skills:
- Strong proficiency in SQL and Python (or equivalent programming language)
- Experience with ETL tools and data pipeline frameworks
- Knowledge of big data technologies (e.g., Spark, Hadoop, Kafka)
- Experience with cloud data platforms (Azure Data Factory, AWS, GCP, etc.)
- Understanding of data modeling, warehousing, and database design
- Familiarity with APIs and data integration techniques
- Strong analytical and problem-solving skills
Preferred Qualifications:
- Experience with real-time data processing
- Knowledge of DevOps/DataOps practices
- Certification in cloud platforms (Azure, AWS, GCP) is a plus
