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About the role
Design and implement scalable data pipelines and architectures to support business intelligence and analytics. Develop and maintain large-scale data warehouses and data lakes to ensure data quality and integrity. Collaborate with cross-functional teams to identify business requirements and develop solutions that meet those needs. Lead the development of data models, ETL processes, and reporting dashboards to drive business outcomes. Ensure compliance with data security and privacy regulations to maintain confidentiality and trust. Mentor junior team members to improve their skills and knowledge in data engineering. Job Requirements Strong understanding of data engineering principles, including data modeling, ETL design patterns, and database management systems. Experience with big data technologies such as Hadoop, Spark, and NoSQL databases. Excellent programming skills in languages such as Python, Java, or Scala. Strong analytical and problem-solving skills to analyze complex data sets and develop creative solutions. Ability to work collaboratively in a fast-paced environment with multiple stakeholders. Strong communication skills to effectively present technical information to non-technical stakeholders. 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
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