Expert Data Engineer

About the Role As an Expert Data Engineer , you will be part of a cross-functional development team dedicated to building innovative, scalable data solutions that drive tomorrow's experiences. You will design and maintain large-scale data infrastructure, work closely with analysts and data scientists, and contribute to internal technical communities. Responsibilities • Build, deploy, and maintain mission-critical analytics solutions for processing large-scale data. • Develop components for data ingestion, real-time streaming, batch processing, and ETL across various storage platforms. • Own parts of the engineering infrastructure; improve platform quality, performance, and maintainability. • Collaborate with other engineers to share knowledge and continuously learn new technologies. • Ensure solutions meet requirements for functionality, scalability, reliability, and availability. • Support end-to-end solutions, performing development, QA, and DevOps roles as needed. • Partner with business analysts and data scientists to understand and support use cases. • Participate in unit activities, conferences, and promote best practices. • Contribute to sales efforts, customer meetings, and digital services engagement. Requirement Technical Experience • 5+ years of experience coding in SQL , Java , Python , or Scala , with solid computer science fundamentals. • 3+ years of experience leading production deployments of large-scale backend data systems. • 2+ years of hands-on experience with tools like Hadoop , MapReduce , Pig , Hive , Impala , Spark , Kafka , Storm , and databases like HBase , Cassandra . • 3+ years working with cloud data platforms: AWS , Azure , or GCP . Data Engineering Expertise • Strong knowledge of Data Governance , including data quality, security, and compliance standards. • Deep understanding of Data Warehousing design, optimization, and implementation. • Experience with SQL and MPP databases (e.g., Vertica , Netezza , Greenplum ). • Familiarity with data quality testing , automation, and visualization tools. • Experience in BI report and dashboard design (e.g., Power BI , Tableau ). Engineering Practices • Experience with Agile methodologies (e.g., SCRUM ). • Strong grasp of the software development lifecycle , including coding standards, version control, code reviews, CI/CD, and operations. • Proven ability to lead development teams: managing backlogs, peer review processes, and maintaining development standards. Education • Bachelor's degree in Computer Science or Engineering from a top-tier university; Master's preferred . Desirable Skills • Experience in data science or machine learning projects. • Proficiency in backend development and deployment . • Knowledge of CI/CD pipelines and related tools. • Understanding of enterprise-level data analytics . • Experience with platforms like Databricks , Snowflake . • Familiarity with Kubernetes and container orchestration . Skills: Machine Learning, Data Science, Sql, Azure, Java, Aws, Python Experience: 2.00-6.00 Years