Required Skill Sets: Terraform, AWS Cloud transformation, Redshift, Airflow, DBT, CI/CD, Autosys and Control M, Github, Snowflake, AWS certification, SQL, Apache Airflow, Data Warehousing. Should have at least 15+ Years of overall IT experience in Designing, developing, and implementing Technology Solutions over a wide range of Industry domains such as Multimedia, Communication, IoT, Retail, Automotive, Healthcare and Experienced in Agile Methodology and Scrum 8+ Years of experience in building Data solutions over Databases, Data Warehouses, and Big Data Tech 6+ Years of Cloud Data Engineering experience on a variety of Cloud Providers covering a wide range of Data Must have delivered multiple Data Engineering projects on AWS, GCP, and Azure while adhering to the best Should have expertise in IaC (Infrastructure as Code) tools and technologies to automate the Cloud Infra required for the Data Engineering Pipelines.

Must be well-versed with DevOps principles to integrate CI/CD in Data Engineering efficiently Certified Technology Professionals from all major Cloud and Data Solutions