AWS Data Engineer
Description For AWS Data Engineer
Talent Worx is seeking experienced AWS Data Engineers to join their team in multiple locations across India. This role focuses on designing and implementing robust data pipelines and analytics solutions using AWS services. The position requires 3-7 years of experience, with a strong emphasis on AWS data services, big data technologies, and programming skills. The ideal candidate will work on creating scalable data architectures, implementing ETL processes, and maintaining data lakes while ensuring high performance and security standards. This is an excellent opportunity for data engineers who want to work with cutting-edge AWS technologies and contribute to building sophisticated data solutions. The role offers a hybrid work arrangement and the chance to collaborate with data scientists and analysts in a dynamic environment. The position demands expertise in various AWS services, including Glue, EMR, Lambda, and proficiency in Python, PySpark, and SQL, making it perfect for those looking to advance their careers in data engineering.
Responsibilities For AWS Data Engineer
- Design and implement scalable, high-performance data pipelines using AWS services
- Develop and optimize ETL processes using AWS Glue, EMR, and Lambda
- Build and maintain data lakes using S3 and Delta Lake
- Create and manage analytics solutions using Amazon Athena and Redshift
- Design and implement database solutions using Aurora, RDS, and DynamoDB
- Develop serverless workflows using AWS Step Functions
- Write efficient and maintainable code using Python/PySpark, and SQL/PostgrSQL
- Ensure data quality, security, and compliance with industry standards
- Collaborate with data scientists and analysts to support their data needs
- Optimize data architecture for performance and cost-efficiency
- Troubleshoot and resolve data pipeline and infrastructure issues
Requirements For AWS Data Engineer
- Bachelor's degree in computer science, Information Technology, or related field
- 3-7 years of experience as a Data Engineer, with at least 60% of experience focusing on AWS
- Strong proficiency in AWS data services: Glue, EMR, Lambda, Athena, Redshift, S3
- Experience with data lake technologies, particularly Delta Lake
- Expertise in database systems: Aurora, RDS, DynamoDB, PostgreSQL
- Proficiency in Python and PySpark programming
- Strong SQL skills and experience with PostgreSQL
- Experience with AWS Step Functions for workflow orchestration
- Knowledge of Big Data: Hadoop, Spark, Delta Lake
- Experience with version control: Git
- Knowledge of Agile methodologies
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