Senior Big Data Engineer Data Administrator sought to design, develop, and maintain large-scale data processing systems and data pipelines using technologies like Spark, and Kafka. Responsible for implementing and optimizing ETL processes, data warehousing solutions, and real-time analytics platforms while ensuring data quality and security. Must have strong experience with SQL/NoSQL databases, Python/Scala programming, and cloud-based big data services (AWS EMR, Databricks, Google BigQuery) and can build on-premises solution. Lead data architecture decisions, implement data governance policies, and build scalable solutions for petabyte-scale data processing and analytics. Collaborate with data science teams, maintain data documentation, provide performance tuning, and mentor junior engineers while ensuring 24/7 availability of data platforms.