Data Engineer

Job not on LinkedIn

🕒 May 14

🇮🇳 India – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

👻 Ghost score 56%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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AVAHI

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2018

💼 Consulting

🏥 Healthcare

🍽️ Food & Beverage

Consulting • Healthcare • Food & Beverage

AVAHI is a consulting firm specialized in sustainable and inclusive development. It operates advocacy and awareness activities through a non-profit association and provides advisory services including impact studies, investment opportunity analyses, market studies, business plan development, fundraising support, training, mentoring, and workshop facilitation. AVAHI works across sectors such as education, renewable energy, circular economy, agribusiness and ICT, serving startups, SMEs, investment funds and development agencies to promote entrepreneurship, impact investment and progress toward the UN Sustainable Development Goals.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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. • 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.