AWS Cloud Data Engineer

3.1

Job Type   /   Job Level

Full-time   /   Others/Any

Company Location

India

Key Responsibilities

Design, develop, and maintain robust ELT/ETL pipelines using Fivetran, dbt Core, and Apache Airflow on AWS infrastructure.
Architect and manage data warehouse solutions on Amazon Redshift, optimizing for performance, cost, and scalability.
Build and maintain data models in dbt Core, ensuring high data quality, reusability, and documentation standards.
Orchestrate complex data workflows using Apache Airflow (MWAA), implementing DAGs with best-practice error handling and alerting.
Manage data ingestion pipelines via Fivetran and custom Python-based connectors, integrating diverse data sources into the warehouse.
Administer and optimize Amazon S3 data lake structures, including partitioning strategies, lifecycle policies, and access controls.
Write advanced SQL queries and stored procedures in Redshift and PostgreSQL for data transformation and analysis.
Develop Python scripts and automation utilities to support pipeline reliability, monitoring, and operational efficiency.
Leverage Claude AI capabilities to accelerate development, automate documentation, and enhance data operations.
Maintain version-controlled codebases using Git, following branching strategies, PR reviews, and CI/CD best practices.
Collaborate with data analysts, engineers, and business stakeholders to translate requirements into scalable data solutions.
Monitor data pipeline health, troubleshoot failures, and implement proactive alerting and observability solutions.

Qualifications

Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related technical field.
4+ years of professional experience in data engineering, analytics engineering, or a similar role.
Demonstrated track record of building and maintaining production-grade data pipelines at scale.
Experience working in Agile/Scrum environments with collaborative cross-functional teams.
Strong communication skills — ability to explain complex technical concepts to non-technical stakeholders.
AWS certifications (e.g., AWS Certified Data Analytics – Specialty) are a strong plus.
dbt Certification is a plus.

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