Data Engineer

Design and implement data pipelines and architectures to support business intelligence and analytics. Develop and maintain large-scale data systems, ensuring scalability, reliability, and performance. Collaborate with cross-functional teams to identify and prioritize project requirements. Ensure data quality and integrity by implementing data validation and testing procedures. Optimize data storage and retrieval processes for improved query performance. Participate in code reviews to ensure adherence to coding standards and best practices. Strong understanding of data modeling, database design, and data warehousing concepts. Experience with big data technologies such as Hadoop, Spark, and NoSQL databases. Proficiency in programming languages such as Python, Java, or Scala. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment and communicate effectively with stakeholders. Strong analytical and critical thinking skills, with the ability to make informed decisions. Disclaimer:This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying. The job location mentioned in this description is based on publicly available information or company headquarters. Candidates are advised to verify the exact job location directly with the employer before applying.