Senior AWS Data Engineer
Accountabilities: The Senior AWS Data Engineer will be responsible for designing, building, and maintaining scalable data platforms and pipelines while ensuring reliability, performance, and data quality. Key responsibilities include:
Design, develop, and optimize data engineering solutions using AWS cloud technologies and modern data warehouse practices.
Build and maintain scalable data pipelines, ensuring efficient data ingestion, transformation, processing, and availability.
Develop advanced SQL queries and optimize database performance for complex analytical workloads.
Work extensively with Amazon Redshift and other cloud data warehouse technologies to support business intelligence and analytics needs.
Apply strong data warehouse concepts and dimensional modeling techniques, including Star and Snowflake schemas.
Develop automation solutions and data engineering workflows using Python.
Support production data pipelines by monitoring performance, troubleshooting issues, and implementing long-term improvements.
Collaborate with cross-functional teams in an Agile environment to deliver reliable and scalable data solutions.
Implement and maintain Git-based CI/CD processes using platforms such as GitHub or GitLab.
Leverage AI-assisted development tools such as GitLab Duo, Gemini, Copilot, ChatGPT, or similar technologies to improve productivity and engineering efficiency.
Contribute to continuous improvement initiatives by identifying opportunities to enhance processes, automation, and data platform capabilities.
Requirements:
The ideal candidate is an experienced data engineer with strong cloud expertise, advanced SQL capabilities, and a passion for building efficient data solutions. Required qualifications and skills include:
6–12 years of professional experience in data engineering or related technical roles.
Strong hands-on experience with Amazon Redshift; experience with Snowflake or Google BigQuery is also considered.
Advanced SQL skills with proven experience writing, optimizing, and troubleshooting complex queries.
Strong understanding of data warehouse architecture, data modeling, and dimensional modeling approaches.
Strong programming experience with Python for data engineering, automation, and data processing tasks.
Experience with Git-based CI/CD workflows using tools such as GitHub or GitLab.
Experience using AI-powered development tools to improve coding efficiency and engineering workflows.
Familiarity with data orchestration tools such as Apache Airflow, Mage, or similar platforms is preferred.
Hands-on experience with AWS services including S3, RDS PostgreSQL, IAM, and related cloud technologies is a plus.
Experience with dbt and modern analytics engineering practices is desirable.
Ability to analyze complex problems, troubleshoot technical issues, and deliver effective solutions.
Strong ownership mindset with excellent communication, collaboration, and teamwork skills.
Experience working in Agile development environments with a focus on continuous learning and improvement.
Benefits:
Fully remote work opportunity from India.
Opportunity to work on large-scale cloud data platforms and modern engineering solutions.
Exposure to advanced AWS technologies, automation frameworks, and AI-assisted development tools.
Collaborative Agile environment focused on innovation, ownership, and continuous improvement.
Opportunity to contribute to impactful data initiatives and business-critical solutions.
Professional growth opportunities through challenging technical projects and continuous learning.
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