AWS Data Engineer

5 days ago


Hyderabad, India iDWTeam Full time

About the RoleWe are seeking an experienced AWS Data Engineer to design, develop, and optimize cloud-based data solutions. The ideal candidate has strong hands-on experience with AWS data services, scalable ETL/ELT pipelines, and modern data architecture patterns. You will work collaboratively with analytics, engineering, and business teams to support data-driven decision-making.Key ResponsibilitiesDesign and develop scalable ETL/ELT pipelines using AWS services (Glue, Lambda, EMR, Step Functions, ECS/Fargate).Build and maintain data lakes and data warehouses using S3, Redshift, Athena, and Lake Formation.Optimize data workflows for performance, reliability, and cost efficiency.Implement data quality, validation, and monitoring frameworks.Collaborate with data scientists, BI engineers, and analysts to deliver accessible and reliable datasets.Automate pipeline deployment using CI/CD tools (CodePipeline, GitHub Actions, etc.).Ensure data governance, compliance, and security following AWS best practices (IAM, KMS, VPC).Troubleshoot and resolve issues across data pipelines and AWS environments.Required Skills & Experience3+ years of experience as a Data Engineer, preferably in AWS environments.Strong hands-on experience with AWS data services (Glue, S3, Athena, Lambda, Redshift, EMR).Proficiency in Python or PySpark for data processing.Expert-level SQL skills for data modeling and optimization.Experience with distributed data processing (Spark, EMR, Databricks is a plus).Knowledge of CI/CD, version control (Git), and DevOps automation.Familiarity with data lake/lakehouse architecture and best practices.Preferred QualificationsAWS certifications (AWS Data Analytics Specialty, AWS Solutions Architect, etc.).Experience with streaming data technologies (Kinesis, Kafka).Exposure to ML/AI workflows or MLOps tools.Experience with Terraform or CloudFormation for infrastructure-as-code.Knowledge of BI tools such as QuickSight, Power BI, or Tableau.What We OfferCompetitive compensation and benefits.Opportunity to work with modern cloud and data engineering technologies.Learning, certification, and career development support.Collaborative, growth-focused working environment.


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