Senior Security Data Engineer I

Role Title Sr Security Data Engineer Position Summary Marriott Internationals Global Information Security is seeking an experienced Data Engineer who can design build and maintain the infrastructure and systems that collect process and store large amounts of security data for Marriott to use for security related analysis and decision-making Job Responsibilities Design implement and maintain scalable data pipelines using tools such as Cribl Stream and Splunk Develop ETL Extract Transform Load processes Ensure data quality and implement validation checks Automate data workflows and processes Work with distributed computing frameworks e g Hadoop Spark Implement solutions for processing large-scale datasets Utilize cloud platforms AWS Azure for data management Optimize data retrieval and query performance Build integrations with various data sources Develop and maintain APIs for data access Ensure compatibility between different systems and platforms Implement data security controls and access management Maintain data integrity and reliability Work closely with security data scientists analysts and business stakeholders Translate business requirements into technical specifications Document data architectures and processes Monitor and troubleshoot data system performance Implement optimizations for efficiency and scalability Ensure high availability of data resources Skill and Experience 4 years of data engineering data analytics data management and or information security experience that includes 4 years of experience in data engineering and or data analytics in an enterprise environment 1 years of experience in information protection information security Strong background in statistics mathematics and software engineering Proficiency in Python R Java or Scala Strong knowledge of SQL Expertise in relational databases e g MySQL PostgreSQL Experience with NoSQL databases e g MongoDB Cassandra Familiarity with cloud platforms AWS Azure GCP and big data frameworks such as Hadoop Spark and Kafka Experience with ETL Extract Transform Load processes Proficiency in data pipeline development and optimization Knowledge of cybersecurity principles tools and best practices Preferred Programming languages Python R SQL Big data technologies Hadoop Spark and Kafka Cloud platforms AWS Azure GCP Ability to design and optimize data models and schemas Understanding of data warehousing data lake and data lakehouse concepts Relevant certifications such as AWS Certified Data Analytics Specialty Google Cloud Professional Data Engineer or IBM Certified Data Engineer Experience with Security information and event management SIEM systems such as Splunk Experience with data pipeline management and data transformation tools such as Cribl Familiarity with MLOps practice Understanding of machine learning algorithms and AI applications in data engineering Verbal and written communication skills to articulate complex technical concepts to both technical and non-technical stakeholders Experience working in Agile and Scrum methodologies Education and Certifications Bachelors degree in computer science software engineering information technology data science or a related field or equivalent experience certification Work location Hyderabad India Work mode Hybrid