500000 - 1900000 Indian Rupee - Yearly
Thiruvananthapuram, Kerala, India
Information Technology
Full-Time
Deqode
Overview
Position: AWS Data Engineer
Experience: 5 to 7 Years
Location: Bengaluru, Pune, Chennai, Mumbai, Gurugram
Work Mode: Hybrid (3 days work from office per week)
Employment Type: Full-time
About The Role
We are seeking a highly skilled and motivated AWS Data Engineer with 5–7 years of experience in building and optimizing data pipelines, architectures, and data sets. The ideal candidate will have strong experience with AWS services including Glue, Athena, Redshift, Lambda, DMS, RDS, and CloudFormation. You will be responsible for managing the full data lifecycle from ingestion to transformation and storage, ensuring efficiency and performance.
Key Responsibilities
Experience: 5 to 7 Years
Location: Bengaluru, Pune, Chennai, Mumbai, Gurugram
Work Mode: Hybrid (3 days work from office per week)
Employment Type: Full-time
About The Role
We are seeking a highly skilled and motivated AWS Data Engineer with 5–7 years of experience in building and optimizing data pipelines, architectures, and data sets. The ideal candidate will have strong experience with AWS services including Glue, Athena, Redshift, Lambda, DMS, RDS, and CloudFormation. You will be responsible for managing the full data lifecycle from ingestion to transformation and storage, ensuring efficiency and performance.
Key Responsibilities
- Design, develop, and optimize scalable ETL pipelines using AWS Glue, Python/PySpark, and SQL.
- Work extensively with AWS services such as Glue, Athena, Lambda, DMS, RDS, Redshift, CloudFormation, and other serverless technologies.
- Implement and manage data lake and warehouse solutions using AWS Redshift and S3.
- Optimize data models and storage for cost-efficiency and performance.
- Write advanced SQL queries to support complex data analysis and reporting requirements.
- Collaborate with stakeholders to understand data requirements and translate them into scalable solutions.
- Ensure high data quality and integrity across platforms and processes.
- Implement CI/CD pipelines and best practices for infrastructure as code using CloudFormation or similar tools.
- Strong hands-on experience with Python or PySpark for data processing.
- Deep knowledge of AWS Glue, Athena, Lambda, Redshift, RDS, DMS, and CloudFormation.
- Proficiency in writing complex SQL queries and optimizing them for performance.
- Familiarity with serverless architectures and AWS best practices.
- Experience in designing and maintaining robust data architectures and data lakes.
- Ability to troubleshoot and resolve data pipeline issues efficiently.
- Strong communication and stakeholder management skills.
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