Technology Architect | Data On Cloud - Platform | AWS

Top 3 responsibilities you would expect the Subcon to shoulder and execute: Design, develop, and maintain scalable ETLELT pipelines for processing large volumes of structured and unstructured data. Create and optimize complex SQL queries, stored procedures, and data models. Collaborate with business stakeholders, analysts, architects, and application teams to understand data requirements. Interview Process (Is face to face required?) Virtual Any additional information you would like to share about the project specs/nature of work: Project Code: CHC WO for CFOBI

Expertise in data engineering languages such as Scala (preferred) or Java, with proficiency in Python Experience with BigData tools, particularly Spark, and familiarity with Hadoop ecosystems Proficiency in building and managing ETL pipelines Experience with cloud platforms like AWS, including services such as S3, Lambda, Redshift, and EMR Strong understanding of relational databases and SQL, and familiarity with NoSQL databases Knowledge of data architecture, data warehousing, and data marts Experience in implementing monitoring solutions and deployment pipelines for data applications Ability to work with distributed systems and manage data storage solutions Demonstrated ability and desire to continually expand skill set, and learn from and teach others Minimum Years of Experience: 8+ years Certifications Needed