AWS Data Engineer

4 days ago

New Delhi, India Insight Global Full time

Job Details:Data Engineer (AWS) Remote HyderabadWe are seeking a highly skilled AWS Data Engineer to join our team and help design, build, and maintain scalable data pipelines and infrastructure in the cloud. The ideal candidate will have experience working with AWS services, relational databases, and ETL processes, as well as expertise in building out solutions in Databricks and Redshift.Key Responsibilities: Design, develop, and maintain scalableETLpipelines using AWS services,Redshift, andDatabricks. Build and optimizedata lakesanddata warehousesleveraging AWSS3,Redshift, and related technologies. Work with structured and unstructured data from various sources and integrate them into a centralized system. Optimize performance and scalability ofrelational databasesandbig dataprocessing systems. Collaborate with cross-functional teams including data analysts, data scientists, and software engineers to support data-driven decision-making. Ensure data quality, security, and compliance with best practices and organizational standards. Troubleshoot and resolve data-related issues and provide support for data infrastructure. Required Skills & Experience: 3+ years of experience as aData Engineeror similar role. Strong expertise inAWSservices such asS3, Redshift, Lambda, Glue, Athena, EMR, and Step Functions. Proficiency inSQLand experience withrelational databases(e.g., PostgreSQL, MySQL, SQL Server). Experience withDatabricksfor big data processing and analytics. Solid understanding ofETLprocesses and data pipeline orchestration. Familiarity withPythonorScalafor data engineering tasks. Experience with data modeling, performance tuning, and database optimization. Knowledge ofdata governanceand security best practices. Preferred Qualifications: Experience withApache Sparkand distributed computing frameworks. Familiarity withTerraformor Infrastructure as Code (IaC) for cloud deployment. Exposure tostreaming dataprocessing using tools likeKafkaorKinesis. Knowledge of DevOps and CI/CD practices for data engineering workflows.

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