Senior Data Engineer

XEqualTo Analytics is looking for Senior Data Engineer to join our dynamic team and embark on a rewarding career journey

• Designing and implementing scalable and reliable data pipelines, data models, and data infrastructure for processing large and complex datasets.
• Developing and maintaining databases, data warehouses, and data lakes that store and manage the organization's data.
• Developing and implementing data integration and ETL (Extract, Transform, Load) processes to ensure that data flows smoothly and accurately between different systems and data sources.
• Ensuring data quality, consistency, and accuracy through data profiling, cleansing, and validation.
• Building and maintaining data processing and analytics systems that support business intelligence, machine learning, and other data-driven applications.
• Optimizing the performance and scalability of data systems and infrastructure to ensure that they can handle the organization's growing data needs.

To be a successful Senior Data Engineer, one must have in-depth knowledge of database architecture, data modeling, data integration, and ETL processes. They should also be proficient in programming languages such as Python, Java, or SQL and have experience working with big data technologies like Hadoop, Spark, and NoSQL databases. Strong communication and leadership skills.