This position is open to candidates based in India only. Applications from outside India will not be considered. Company Overview At Avahi we’re redefining what it means to be a premier cloud-first consulting company recognized for our people culture and innovative solutions. With expertise in Managed Services Reselling Staffing and Professional Services we are dedicated to delivering exceptional value and putting customers first. As a remote-first global team spanning North America Europe and Southeast Asia we foster a collaborative and diverse environment where professional growth creativity and mutual respect thrive. Guided by our values—Customer-Centricity Collaboration Agility Innovation Integrity and Diversity & Inclusion—we empower businesses to embrace the full potential of a cloud-first approach. Key Responsibilities Design build and maintain scalable AWS data platforms supporting batch and streaming pipelines analytics and AI/ML workloads aligned with AWS Well-Architected best practices. Build and operate data ingestion transformation and enrichment pipelines from internal systems and external APIs handling structured semi-structured unstructured and graph data.Implement data normalization workflows to ensure consistent schemas high data quality and reliable analytics BI and ML use cases. Design and enforce data governance including cataloging lineage access control and auditability. Build and maintain knowledge graphs to model relationships across core business entities enabling advanced analytics and inference. Identify data gaps inconsistencies and missing relationships using strong analytical and inference skills. Integrate data from enterprise platforms such as CRM and ERP systems (Salesforce HubSpot SAP NetSuite Dynamics 365 Workday). Design secure data access layers for analytics BI ML and downstream applications.Implement monitoring observability and data quality checks for freshness completeness and pipeline health. Optimize data architectures for performance and cost efficiency using partitioning indexing compression and storage tiering. Build internal tooling dashboards and standardized scaffolding to improve visibility maintainability and onboarding. Collaborate with cross-functional teams to deliver high-impact data solutions and share best practices documentation and technical guidance. Required Skills & Qualifications 4-5 yrs of strong experience designing and operating AWS data platforms including S3 Glue Lake Formation Athena Redshift EMR Kinesis/MSK DynamoDB OpenSearch and Neptune. Strong Python skills for data engineering focused on modular testable and maintainable code. Solid understanding of distributed data systems including batch and streaming pipelines fault tolerance idempotency and event-driven architectures. Experience with data warehouse and lakehouse architectures ETL/ELT pipelines and analytical query engines. Hands-on experience with Spark Hadoop Hive or Flink. Strong data modeling skills including normalized denormalized and graph-based models with safe schema evolution. Advanced SQL skills for analytics and data engineering including window functions CTEs and query optimization. Experience integrating external APIs and enterprise systems especially CRM and ERP platforms. Knowledge of data governance security and compliance including encryption access control and audit logging. Experience implementing monitoring observability and data quality checks using CloudWatch and CloudTrail. Comfort with Infrastructure as Code using CloudFormation or Terraform. Strong end-to-end ownership mindset with a focus on scalability reliability and long-term maintainability. Professional-level English communication skills able to explain data architectures and trade-offs to technical and non-technical stakeholders. Why Work Here Remote-First Flexibility Enjoy work-life harmony in a remote-first environment that allows you to work from anywhere. Innovative Culture We embrace a startup mindset encouraging creativity agility and growth. Be part of a team that explores cutting-edge technology and drives impactful solutions. Career Development Avahi is committed to your growth offering mentorship and opportunities to advance your career. Purpose-Driven Mission Join us in making a difference. Avahi is dedicated to championing diversity supporting women in tech and fostering sustainable practices. Global Collaboration Work alongside a diverse talented team sharing insights and collaborating to create innovative solutions that make a real impact. Join Avahi and make an impact in a fast-paced customer-focused environment with abundant opportunities for growth. Accessibility and Inclusivity StatementAt Avahi we are committed to fostering a workplace that celebrates diversity and inclusivity. We welcome applicants from all backgrounds experiences and perspectives including those from underrepresented communities. We are proud to be an equal opportunity employer providing a fair and accessible recruitment process for all candidates. If you require accommodations at any stage of the application or interview process please let us know and we will work to meet your needs. #LI-Remote