AWS Data Engineer

Role: Data Engineer – AWS Data Platform Experience:

7+ Years Work Mode:

100% Remote Employment Type:

Full-Time

Job Summary We are looking for a highly skilled and motivated

Data Engineer

with strong expertise in

AWS data services

to join our data platform team. The ideal candidate will have hands-on experience designing scalable

data pipelines, workflow orchestration frameworks, and large-scale data migration solutions . This role will be responsible for building robust

cloud-native data engineering solutions on AWS , migrating datasets from legacy systems and data warehouses, and ensuring secure and efficient data processing pipelines across distributed environments. Key Responsibilities AWS Data Pipeline Development Design and implement

scalable ETL/ELT data pipelines

using

AWS Glue, AWS Lambda, and AWS S3 . Build and maintain high-performance

data ingestion frameworks

for processing large-scale datasets. Implement data pipelines for

data warehousing and analytics platforms such as AWS Redshift . Optimize storage and querying strategies using

AWS S3 data lakes . Data Workflow Orchestration Develop and maintain

data workflow orchestration frameworks

using tools such as

Apache Airflow or AWS Step Functions . Automate complex workflows including

data ingestion, transformation, validation, and loading processes . Build reusable and configurable workflows to support multiple data processing use cases. Data Migration & Integration Lead

data migrations from legacy data warehouse technologies

to modern AWS data platforms. Perform

data migration from RDBMS systems (e.g., MySQL, SQL Server, Oracle) to AWS S3 or AWS Redshift . Design scalable migration frameworks for large datasets with minimal downtime. Integrate data sources from enterprise applications and external systems. Data Security & Governance Implement secure data pipelines using

AWS security best practices . Manage access control and data governance using

AWS IAM and Lake Formation . Ensure

data encryption, access management, and compliance

across all data platforms. Performance Optimization & Monitoring Monitor data pipelines and troubleshoot performance issues. Optimize ETL workflows for scalability, reliability, and cost efficiency. Implement logging, monitoring, and alerting mechanisms for data pipelines. Required Skills & Qualifications (Must Have) 5+ years of experience in Data Engineering or Data Platform development Strong hands-on experience with: AWS AWS Glue AWS S3 AWS Lambda Experience with

Data Workflow Orchestration tools

such as

Apache Airflow or AWS Step Functions Experience performing

data migrations from other data warehouse technologies Experience performing

data migrations from RDBMS systems to AWS S3 or AWS Redshift Strong expertise in

Python and SQL

for building scalable data pipelines Solid understanding of

ETL/ELT concepts, data partitioning, and distributed data processing Experience working with

version control systems such as GitLab or Bitbucket Strong debugging, analytical thinking, and problem-solving skills Basic understanding of

Object-Oriented Programming concepts Industry Knowledge & Experience Experience building

cloud-native data engineering solutions on AWS Experience with

data warehouse architectures and large-scale analytics platforms Hands-on experience with

data extraction, transformation, and migration frameworks Experience working in

high-volume data environments such as FinTech, analytics platforms, or enterprise data systems Good to Have Skills IBM Cognos AWS Athena AWS Lake Formation AWS Redshift AWS Glue Data Catalog AWS SageMaker AWS IAM Soft Skills Strong communication skills to present technical solutions and recommendations to stakeholders Ability to work cross-functionally in a

fast-paced and evolving environment Detail-oriented with a proactive approach to identifying and solving data platform challenges Ability to collaborate effectively with

data scientists, analysts, and platform engineering teams

-- Thanks and Regards Vaishali Bhola Sr. HR Executive Executive HR - Talent Acquisition