Aws Data Engineer

4 days ago

Hyderabad, Telangana, India Quess Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Role & responsibilities:

Design, deploy, and manage cloud-native solutions using AWS services such as Glue, Lambda, S3, DynamoDB, Lake Formation, Athena, Redshift, and RDS.

Build scalable data lakes using S3 and Iceberg, ensuring secure and governed access to data for analytics and reporting

Implement event-driven workflows using Lambda, SNS, and EventBridge (AWS EventHub) for automation and real-time processing

Develop APIs and integrate services to support backend systems and client applications

Monitor, troubleshoot, and optimize infrastructure using CloudWatch and Grafana dashboards

Collaborate with cross-functional teams to define best practices, ensure security compliance, and align with business objectives

Automate deployments using CI/CD pipelines and Infrastructure as Code (IaC) frameworks

Mentor junior engineers and support knowledge-sharing across teams

Preferred candidate profile:

Hands-on experience designing and implementing AWS cloud infrastructure at scale

Expertise in data lake formation, governance, and analytics using AWS Lake Formation, S3, Athena, and Iceberg

Strong understanding of serverless architectures and event-driven workflows using Lambda, SNS, and EventBridge

Strong knowledge of data warehousing using AWS Redshift and relational database design using Amazon RDS

Proficiency in scripting languages like Python or Bash to automate cloud operations and workflows

Experience developing APIs and integrating distributed systems in cloud environments

Strong knowledge of DynamoDB, data modeling, and query optimization for NoSQL data stores

Experience in configuring and monitoring cloud infrastructure using CloudWatch and Grafana

Working knowledge of CI/CD pipelines, DevOps practices, and tools like Terraform, CloudFormation, or AWS CDK

Understanding of storage formats such as Parquet, ORC, and AVRO for efficient querying and compression

Familiarity with security frameworks, IAM policies, encryption, and data protection best practices

Analytical mindset with strong troubleshooting and performance tuning capabilities

Ability to work with structured and unstructured data in batch and streaming pipelines

Demonstrated problem-solving skills, adaptability, and eagerness to learn new technologies

Experience with deployment processes and containerization is a plus

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