Posted 17 May, 2026
AWS Cloud Developer
Veracity
Bangalore,Karnataka,India
Full Time
Reference: 365_621153_25-02822
4+ years of AWS Cloud Development with hands-on experience in services like (S3, EC2, EMR, Lambda, RDS, DynamoDB, Kinesis, SageMaker, and Athena.)
Strong coding skills in Python and PySpark for building data pipelines.
Good knowledge of SQL and basic understanding of data warehousing concepts (Data Lakes, Data Warehouses, Dimensions, Facts).
Experience leading a team - mentoring developers, code reviews, and optimizing workflows.
Excellent communication skills with a Bachelor's or Master's degree in a relevant technical field.
IMPORTANT, has a valid government-issued photo ID and a passport-size photo is attached on top of the resume. Extremely necessary to to proceed further.
Job Description:
We are looking for a highly motivated and experienced AWS Cloud Developer to join our team as a Subject Matter Expert (SME) in Data Engineering. The ideal candidate will hold a B.E./Master's degree in Computer Science, Information Systems, Computer Engineering, or Systems Engineering and will bring strong expertise in AWS cloud services, scripting in Python/PySpark, and a solid understanding of data engineering and warehousing principles.
In this role, you will work in a fast-paced, deadline-driven environment and are expected to lead technical solutioning, development, and optimization initiatives while collaborating with cross-functional teams.
Key Responsibilities:
Work in the capacity of an AWS Cloud Developer, designing and building scalable and efficient data solutions.
Script and program in Python and PySpark to develop robust data processing pipelines.
Translate complex functional and technical requirements into detailed technical designs and implement them efficiently.
Engage with business and technical stakeholders for continuous requirement gathering, updates, and design validations.
Leverage a broad stack of AWS services such as S3, EC2, EMR, Lambda, RDS, DynamoDB, Kinesis, SageMaker, and Athena to build end-to-end data solutions.
Lead and mentor a team of developers by providing both technical and functional guidance. Perform code reviews, optimize data workflows, and ensure adherence to best practices.
Apply basic SQL knowledge for querying and managing data and support performance optimization.
Utilize understanding of data warehousing concepts such as Data Lakes, Data Warehouses, Dimensions, and Facts to structure and deliver data solutions.
Maintain clear and professional communication with team members, stakeholders, and clients-excellent verbal and written skills are essential.
Good to Have:
Familiarity with on-premises databases and SQL-based systems.
Experience working with reporting or BI tools (e.g., Tableau, Power BI, QuickSight).
Minimum Qualifications:
Bachelor's or Master's degree in a relevant technical field.
Proven experience in Data Engineering with a strong focus on AWS Cloud platforms.
Deep understanding of data pipelines, big data frameworks, and real-time data streaming.
Experience leading technical teams and managing delivery in a cloud-native environment.
Strong analytical and problem-solving skills.
Strong coding skills in Python and PySpark for building data pipelines.
Good knowledge of SQL and basic understanding of data warehousing concepts (Data Lakes, Data Warehouses, Dimensions, Facts).
Experience leading a team - mentoring developers, code reviews, and optimizing workflows.
Excellent communication skills with a Bachelor's or Master's degree in a relevant technical field.
IMPORTANT, has a valid government-issued photo ID and a passport-size photo is attached on top of the resume. Extremely necessary to to proceed further.
Job Description:
We are looking for a highly motivated and experienced AWS Cloud Developer to join our team as a Subject Matter Expert (SME) in Data Engineering. The ideal candidate will hold a B.E./Master's degree in Computer Science, Information Systems, Computer Engineering, or Systems Engineering and will bring strong expertise in AWS cloud services, scripting in Python/PySpark, and a solid understanding of data engineering and warehousing principles.
In this role, you will work in a fast-paced, deadline-driven environment and are expected to lead technical solutioning, development, and optimization initiatives while collaborating with cross-functional teams.
Key Responsibilities:
Work in the capacity of an AWS Cloud Developer, designing and building scalable and efficient data solutions.
Script and program in Python and PySpark to develop robust data processing pipelines.
Translate complex functional and technical requirements into detailed technical designs and implement them efficiently.
Engage with business and technical stakeholders for continuous requirement gathering, updates, and design validations.
Leverage a broad stack of AWS services such as S3, EC2, EMR, Lambda, RDS, DynamoDB, Kinesis, SageMaker, and Athena to build end-to-end data solutions.
Lead and mentor a team of developers by providing both technical and functional guidance. Perform code reviews, optimize data workflows, and ensure adherence to best practices.
Apply basic SQL knowledge for querying and managing data and support performance optimization.
Utilize understanding of data warehousing concepts such as Data Lakes, Data Warehouses, Dimensions, and Facts to structure and deliver data solutions.
Maintain clear and professional communication with team members, stakeholders, and clients-excellent verbal and written skills are essential.
Good to Have:
Familiarity with on-premises databases and SQL-based systems.
Experience working with reporting or BI tools (e.g., Tableau, Power BI, QuickSight).
Minimum Qualifications:
Bachelor's or Master's degree in a relevant technical field.
Proven experience in Data Engineering with a strong focus on AWS Cloud platforms.
Deep understanding of data pipelines, big data frameworks, and real-time data streaming.
Experience leading technical teams and managing delivery in a cloud-native environment.
Strong analytical and problem-solving skills.
