Design, implement, and manage large-scale data processing systems using Big Data Technologies such as Hadoop, Apache Spark, and Hive. Develop and manage our database infrastructure based on Relational Database Management Systems (RDBMS), with strong expertise in SQL. Utilize scheduling tools like Airflow, Control M, or shell scripting to automate data pipelines and workflows. Write efficient code in Python and/or Scala for data manipulation and processing tasks. Leverage AWS services including S3, Redshift, and EMR to create scalable, cost-effective data storage and processing solutions