Senior Data Engineer

We are seeking a Senior Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering, with expertise in PySpark and SQL. As a Senior Data Engineer, you will be responsible for designing, developing, and maintaining scalable data pipelines that support our data analytics and business intelligence initiatives. You will work closely with data scientists, analysts, and other stakeholders to ensure that data is accessible, reliable, and actionable. Key Responsibilities: - Design and implement robust data pipelines using PySpark to process large datasets efficiently. - Develop and optimize SQL queries for data extraction, transformation, and loading (ETL) processes. - Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs. - Monitor and troubleshoot data pipeline performance, ensuring high availability and reliability. - Stay updated with the latest industry trends and technologies in data engineering and analytics. Required Skills: - Proficiency in PySpark for big data processing. - Strong SQL skills for data manipulation and querying. - Experience with data warehousing concepts and tools. - Familiarity with cloud platforms and data storage solutions is a plus. - Excellent problem-solving skills and attention to detail. If you are passionate about data and have a proven track record in data engineering, we would love to hear from you. Join us in leveraging data to drive business success.