AWS Data Engineer
Description For AWS Data Engineer
We are seeking experienced AWS Data Engineers to join our team at Talent Worx to design, implement, and maintain robust data pipelines and analytics solutions using AWS services. This role combines cloud engineering with data engineering, requiring expertise in AWS services, big data technologies, and programming. The position offers a comprehensive technical stack including AWS services (Glue, EMR, Lambda, Athena, Redshift), big data technologies (Hadoop, Spark, Delta Lake), and various database systems. You'll be working on scalable data solutions, implementing ETL processes, and building data lakes while collaborating with data scientists and analysts. The role requires 3-7 years of experience with a strong focus on AWS, making it perfect for mid-level engineers looking to grow their careers in cloud data engineering. The hybrid work environment across multiple major Indian cities provides flexibility and opportunity for professional growth.
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
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