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