Posted:1 month ago|
Platform:
On-site
Full Time
Profile: AWS Data Engineer Mode- Hybrid Experience- 5+7 years Locations - Bengaluru, Pune, Chennai, Mumbai, Gurugram Roles And Responsibilities Design and maintain ETL pipelines using AWS Glue and Python/PySpark Optimize SQL queries for Redshift and Athena Develop Lambda functions for serverless data processing Configure AWS DMS for database migration and replication Implement infrastructure as code with CloudFormation Build optimized data models for performance Manage RDS databases and AWS service integrations Troubleshoot and improve data processing efficiency Gather requirements from business stakeholders Implement data quality checks and validation Document data pipelines and architecture Monitor workflows and implement alerting Keep current with AWS services and best practices Required Technical Expertise Python/PySpark for data processing AWS Glue for ETL operations Redshift and Athena for data querying AWS Lambda and serverless architecture AWS DMS and RDS management CloudFormation for infrastructure SQL optimization and performance tuning Skills:- Amazon Web Services (AWS), Python, PySpark and SQL Show more Show less
Deqode
Upload Resume
Drag or click to upload
Your data is secure with us, protected by advanced encryption.
Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.
We have sent an OTP to your contact. Please enter it below to verify.
Instantly access job listings, apply easily, and track applications.
Practice Python coding challenges to boost your skills
Start Practicing Python Now
Bengaluru, Karnataka, India
5.0 - 10.0 Lacs P.A.
Pune, Bengaluru
7.0 - 15.0 Lacs P.A.
Gurugram, Haryana, India
Experience: Not specified
Salary: Not disclosed
Hyderabad, Telangana, India
Salary: Not disclosed
Gurugram, Haryana, India
Experience: Not specified
Salary: Not disclosed
Hyderabad, Telangana, India
Salary: Not disclosed
