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Description
Job Title: Data Engineer â AWS Full Stack Location: India (Remote or Hybrid) Contract Type: Full-time, 1-Year Contract Experience Required: Minimum 5 years Start Date: Immediate Compensation: Competitive (Based on experience) About the Role We are seeking a highly skilled Data Engineer with deep expertise in the AWS ecosystem and full-stack data engineering . The ideal candidate will be responsible for designing, developing, and maintaining robust data pipelines and analytics platforms that support critical business insights and decision-making. This is a 1-year contract role ideal for professionals who have experience across data ingestion, transformation, cloud infrastructure, and data operations. Key Responsibilities Design and build end-to-end data pipelines using AWS services (Glue, Lambda, S3, Athena, Redshift, EMR, etc.). Develop and manage ETL/ELT processes , ensuring data quality, scalability, and maintainability. Collaborate with product, analytics, and engineering teams to deliver data models, APIs, and real-time data solutions . Implement best practices for data governance, lineage, monitoring, and access control . Automate data workflows using tools like Airflow, Step Functions , or custom scripts. Create and maintain infrastructure as code (IaC) using CloudFormation or Terraform for AWS data components. Optimize data warehouse and lakehouse architectures for performance and cost. Required Skills & Qualifications 5+ years of experience in data engineering, including cloud-native data development. Strong expertise in AWS data services : Glue, S3, Lambda, Redshift, Athena, Kinesis, EMR, etc. Proficiency in SQL, Python, and Spark for data manipulation and transformation. Experience with DevOps tools (CI/CD, Git, Docker) and infrastructure automation. Knowledge of data modeling , schema design, and performance tuning for large-scale datasets. Ability to work independently in a contract environment , managing priorities and deadlines. Preferred Qualifications Familiarity with streaming data architectures using Kafka/Kinesis. Experience working in regulated or large-scale enterprise environments . Exposure to BI tools (e.g., QuickSight, Tableau, Power BI) and API integration for downstream consumption. Show more Show less
