Data Engineer-Data Engineering-Cloud Data Engineering

Job Description

Job Summary We are looking for a skilled and motivated Data Engineer to join our team. The ideal candidate will have experience with data processing, database management, and reporting. You will play a crucial role in building and maintaining scalable data pipelines, ensuring the availability and accessibility of data for analytical purposes. Strong communication skills and proficiency in SQL and Tableau are key to this role. Responsibilities Design, build, and maintain efficient and reliable data pipelines. Optimize and ensure the performance, scalability, and reliability of database systems. Collaborate with cross-functional teams to understand data requirements and implement solutions. Write complex SQL queries to extract, clean, and transform data. Develop interactive dashboards and reports in Tableau to provide actionable insights. Monitor and troubleshoot data issues and provide timely resolutions. Work closely with the data team to ensure data integrity and security. Document data processes, pipeline designs, and system architecture. Must Have 4+ years of SQL & Python programming experience. Intermediate knowledge of SQL for querying, transforming, and managing databases. Intermediate experience with Tableau for building visualizations and reports. Strong communication skills to effectively interact with team members and stakeholders. Solid understanding of data engineering principles and data modeling. Ability to work independently and manage multiple tasks in a fast-paced environment. Attention to detail and a problem-solving mindset. Experience in building real-time/streaming data pipelines. Initiative and problem-solving skills when working independently. Good collaboration and communication skills, highly self-driven, and take ownership. Experience in Writing well-documented, Clean, and Effective codes is a must. Good To Have Good knowledge on Databricks experience. Experience with cloud-based data platforms (AWS, GCP, Azure). Familiarity with data warehousing concepts and tools.