AWS Data Engineer - Python/ETL (6-8 yrs)

Role : AWS Data Engineer

Experience : 6+ yrs

Job Location : Gurgaon

Job Summary :

We are seeking a talented and experienced - AWS Data Engineer- proficient in - Python- to join our data engineering team. In this role, you will design, implement, and optimize data pipelines and architectures within AWS environments, ensuring the availability and scalability of data for analytics and business intelligence. The ideal candidate will have a strong background in AWS cloud services, data engineering principles, and Python programming to help build efficient and reliable data processing solutions and data migration.

Key Responsibilities:

- Design, develop, and maintain data pipelines on - AWS- using services like - Amazon S3- , - AWS Lambda- , - AWS Glue- , - Amazon Redshift- , and - Amazon RDS- .

- Implement - ETL (Extract, Transform, Load)- processes using - Python- , and integrate them with various data sources, ensuring high-performance and error-free data workflows.

- Build and manage scalable and efficient data infrastructure on - AWS- to support large-scale data processing and analytics.

- Write efficient, reusable, and maintainable - Python scripts- to automate data transformation, cleaning, and processing tasks.

- Integrate data from multiple sources (e.g., relational databases, APIs, cloud-based storage) into AWS data lakes or data warehouses.

- Work closely with data scientists, analysts, and other stakeholders to design and implement data models and solutions that support data-driven decision-making.

- Monitor and troubleshoot data pipelines and AWS-based services to ensure high availability, reliability, and performance.

- Optimize data processing workflows to handle large volumes of data efficiently and cost-effectively using - AWS- best practices.

- Implement - data quality checks- and validation rules to ensure data accuracy and integrity.

- Collaborate with cloud infrastructure teams to ensure seamless integration of data solutions with existing infrastructure.

- Create and manage - AWS IAM roles- , security protocols, and policies to ensure secure access to data.

- Build automated - data reporting and alerting- mechanisms to track the performance of data pipelines.

- Document workflows, data models, and best practices for internal use and future scalability.

Please share your resumes on priority, early joiners will be preferred.