Senior Data Engineer

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