AWS Data Engineer

We're looking for AWS Data Engineers! Responsibilities Design, Migrate, build, and maintain data pipelines for performance, scalability, and reliabilityDevelop and maintain data models and schemasIntegrate data from diverse sources.Ensure data quality and implement data governance policies.Able to create reports using PowerBI.Collaborate with data analysts, product owners and other stakeholders for the Data requirements and support the releases. Qualifications Bachelor s degree in computer science & engineeringStrong proficiency in SQL: Ability to write complex queries, perform data manipulation, and understand database concepts (both relational and potentially NoSQL).Proficiency in at least one programming language relevant to data engineering (e.g., Python, Java): Python is preferable.Understanding of data modeling concepts: Including relational modeling, dimensional modeling and schema design.Familiarity with ETL/ELT processes and tools: Knowledge of data integration and transformation techniques.Basic understanding of database systems (AWS Aurora DB, Dynamo DB and RDS) with data warehousing principles(Preferably AWS Redshift):Basic understanding of cloud computing concepts: Familiarity with at least one major cloud platform (AWS or Azure) is often a plus.Strong problem-solving and critical thinking abilitiesExcellent communication and collaboration skillsUnderstanding of the agile development methodology Preferred Skills And Qualifications Experience with AWS cloud platform and their data engineering services: AWS (Redshift, Aurora, Dynamo, RDS).Proficiency at Python programming relevant to data engineering concepts.Familiarity with data governance and data quality frameworks and tools.Experience in setting up and managing CI/CD pipelines using tools such as Jenkins or similarKnowledge/working with Semi-conductor domain (Foundry) is an added plus.Experience with data visualization with Power BI.Experience with Agile development methodologies.Good to have any relevant certifications (e.g., AWS Certified Data Engineer) (*Note: Scoutit is an independent candidate sourcing partner for this hiring. All applications, candidate screening, and hiring-related actions are conducted directly by the respective employers authorized recruitment team. Relevant candidates will be contacted via email and asked to fill in additional details as part of the next stage of the application process.) Skills: aws,data engineering,data We're looking for AWS Data Engineers! Responsibilities Design, Migrate, build, and maintain data pipelines for performance, scalability, and reliabilityDevelop and maintain data models and schemasIntegrate data from diverse sources.Ensure data quality and implement data governance policies.Able to create reports using PowerBI.Collaborate with data analysts, product owners and other stakeholders for the Data requirements and support the releases. Qualifications Bachelor s degree in computer science & engineeringStrong proficiency in SQL: Ability to write complex queries, perform data manipulation, and understand database concepts (both relational and potentially NoSQL).Proficiency in at least one programming language relevant to data engineering (e.g., Python, Java): Python is preferable.Understanding of data modeling concepts: Including relational modeling, dimensional modeling and schema design.Familiarity with ETL/ELT processes and tools: Knowledge of data integration and transformation techniques.Basic understanding of database systems (AWS Aurora DB, Dynamo DB and RDS) with data warehousing principles(Preferably AWS Redshift):Basic understanding of cloud computing concepts: Familiarity with at least one major cloud platform (AWS or Azure) is often a plus.Strong problem-solving and critical thinking abilitiesExcellent communication and collaboration skillsUnderstanding of the agile development methodology Preferred Skills And Qualifications Experience with AWS cloud platform and their data engineering services: AWS (Redshift, Aurora, Dynamo, RDS).Proficiency at Python programming relevant to data engineering concepts.Familiarity with data governance and data quality frameworks and tools.Experience in setting up and managing CI/CD pipelines using tools such as Jenkins or similarKnowledge/working with Semi-conductor domain (Foundry) is an added plus.Experience with data visualization with Power BI.Experience with Agile development methodologies.Good to have any relevant certifications (e.g., AWS Certified Data Engineer) (*Note: Scoutit is an independent candidate sourcing partner for this hiring. All applications, candidate screening, and hiring-related actions are conducted directly by the respective employers authorized recruitment team. Relevant candidates will be contacted via email and asked to fill in additional details as part of the next stage of the application process.) Skills: aws,data engineering,data