W
Walking Tree
Data Engineer
Skills
Google Cloud PlatformData MiningKafkaData AnalysisAIAWSCRMSalesforceWorkdayOracleSAP ERPApache AirflowAzure
1 month ago
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Important information
Contract type:
Permanent
Location:
Bhubaneswar, Odisha, India
Work mode:
Hybrid
Published on:
23 September 2026
What they need
- Design, develop, and maintain scalable, production-grade ETL/ELT data pipelines using modern orchestration frameworks including Apache Airflow, Apache Spark, Kafka, and MuleSoft
- Build data ingestion solutions from diverse enterprise source systems including ERP platforms (SAP, Oracle), CRM platforms (Salesforce, Workday), and cloud data warehouses, extracting data via APIs, connectors, and direct database access
- Develop and maintain analytical content including business metrics, KPIs, and dashboards that drive measurable enterprise outcomes
- Implement data modelling best practices across relational, dimensional, and cloud warehouse schemas to support downstream analytics consumption
- Build and maintain data quality frameworks, validation rules, and observability/monitoring pipelines to ensure high-quality, trustworthy data across all product applications
- Optimize data processing workflows for performance, reliability, and cost-efficiency in cloud-native environments (AWS, Azure, GCP)
- Collaborate with BI Engineers, Data Modellers, Product Managers, and UX Designers to ensure seamless data flow from source systems through transformation layers to analytical dashboards and AI-ready datasets
- Write clean, reusable, and well-tested code following software engineering best practices including code reviews, unit testing, and CI/CD
- Work with product owners to understand detailed requirements and own code from design through implementation, test automation, and high-quality delivery
- Implement software that is extensible and allows customers to customize functionality to meet their specific needs
- Integrate AI tools and AI-driven approaches actively into engineering workflows, pipeline development, and problem-solving not just as a tool user, but as a critical thinker about where AI adds value
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