AWS Data Engineer
2 weeks ago
Role AWS Data Engineer.
Location : Gurugram, India (Hybrid).
Type : Permanent.
Job Description :
Key Responsibilities :
- Data Pipeline Development : Design, develop, and optimize end-to-end data pipelines for extracting, transforming, and loading (ETL) large volumes of data from diverse sources into data warehouses or lakes.
- Cloud Infrastructure Management : Implement and manage data processing and storage solutions in AWS (Amazon Web Services) using services like S3, Redshift, Lambda, Glue, Kinesis, and others.
- Data Modeling : Collaborate with data scientists, analysts, and business stakeholders to define data requirements and design optimal data models for reporting and analysis.
- Performance Tuning & Optimization : Identify bottlenecks and optimize query performance, pipeline processes, and cloud resources to ensure cost-effective and scalable data workflows.
- Automation & Scripting : Develop automated data workflows and scripts to improve operational efficiency using Python, SQL, or other scripting languages.
- Collaboration & Documentation : Work closely with data analysts, data scientists, and other engineering teams to ensure data availability, integrity, and quality. Document processes, architectures, and solutions clearly.
- Data Quality & Governance : Ensure the accuracy, consistency, and completeness of data. Implement and maintain data governance policies to ensure compliance and security standards are met.
- Troubleshooting & Support : Provide ongoing support for data pipelines and troubleshoot issues related to data integration, performance, and system reliability.
Qualifications :
Essential Skills :
- Experience : 8+ years of professional experience as a Data Engineer, with a strong background in building and optimizing data pipelines and working with large-scale datasets.
- AWS Experience : Hands-on experience with AWS cloud services, particularly S3, Lambda, Glue, Redshift, RDS, and EC2.
- ETL Processes.
- Programming Languages : Proficiency in Python, SQL, and other scripting languages (i.e., Bash, Scala, Java).
- Data Warehousing.
- Data Modeling.
- Version Control & CI/CD.
Desirable Skills :
- Big Data Technologies.
- Containerization & Orchestration.
- Data Security.
- Data Streaming.
- Business Intelligence Tools.
- Agile Methodology.
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