What You’ll Do Own features end-to-end: from technical design, API spec, frontend implementation (React/Next.js + Tailwind) to deployment and monitoring on Azure/GCP Translate product vision into clean, modular, testable code; partner directly with our Head of Engineering Build scalable microservices in Node.js/TypeScript (REST/GraphQL, Docker/K8s, Terraform) Deliver integrations with ERP and data-warehouse systems (e.g. SAP IPD/S4, Snowflake, QuickBooks) Iterate rapidly on AI/ML–powered workflows (prompt engineering, vector DBs) and low-code automations (n8n/Cursor/Supabase) Champion best practices: CI/CD, code reviews, automated tests, performance tuning What We’re Looking For 3+ years full-stack experience shipping a commercial SaaS product in a B2B/enterprise context Deep expertise with JavaScript/TypeScript, Node.js backends and React/Next.js frontends Hands-on with Azure and/or GCP deployments, containerization (Docker/Kubernetes), and IaC (Terraform) Solid track record of building and owning cloud-native microservices and APIs Self-starter mindset: you’ll run with minimal direction, juggle multiple domains, and stay calm under pressure Nice-to-Haves Past life in early-stage startups or “wearing every hat” Supply-chain domain expertise (WMS, TMS, procurement) Process-mapping or graph-UI experience (D3, custom canvas tools) Contributions to open-source projects or hackathon MVPs Python/data-engineering chops (ETL, Spark, Airflow) Mentorship, team-lead, or architect roles
Power BI Data Engineer — Enterprise Analytics Location(s): Chennai, Hyderabad, Bangalore, India (On-site) About the Role Design, develop, and maintain interactive Power BI dashboards and reports to empower business stakeholders with actionable insights. Responsibilities Build and optimize ETL pipelines for data ingestion, transformation, and loading into analytics platforms (Power BI, Snowflake, Databricks, or Microsoft Fabric). Develop and implement star schemas, data models, and semantic models for analytics cubes to support enterprise reporting and BI needs. Collaborate with data scientists, analysts, and business teams to translate requirements into scalable data solutions. Ensure data quality, governance, and security across all BI workflows, adhering to best practices. Deploy and monitor data solutions on cloud platforms (Azure preferred, AWS/GCP a plus). Continuously improve performance of data pipelines and reports through optimization and automation. Qualifications 5–7 years of experience in data engineering, with a focus on BI solutions and Power BI development. Required Skills Strong expertise in Power BI (DAX, Power Query, report design) and building intuitive, high-performance dashboards. Proven experience designing and implementing ETL processes and star schemas for analytics cubes. Hands-on experience with cloud data platforms like Snowflake, Databricks, or Microsoft Fabric. Proficiency in SQL for querying and transforming large datasets. Familiarity with Azure data services (e.g., Azure Data Factory, Synapse Analytics) or equivalent cloud tools. Self-motivated with a proactive approach to problem-solving, capable of managing complex projects with minimal oversight. Preferred Skills Familiarity with data orchestration tools (e.g., Apache Airflow, Prefect). Knowledge of data warehousing concepts and tools (e.g. Fabric, Redshift, BigQuery). Exposure to AI/ML integration for predictive analytics or anomaly detection.
As a Power BI Data Engineer in Enterprise Analytics, your role involves designing, developing, and maintaining interactive Power BI dashboards and reports to empower business stakeholders with actionable insights. Key Responsibilities: - Build and optimize ETL pipelines for data ingestion, transformation, and loading into analytics platforms such as Power BI, Snowflake, Databricks, or Microsoft Fabric. - Develop and implement star schemas, data models, and semantic models for analytics cubes to support enterprise reporting and BI needs. - Collaborate with data scientists, analysts, and business teams to translate requirements into scalable data solutions. - Ensure data quality, governance, and security across all BI workflows, adhering to best practices. - Deploy and monitor data solutions on cloud platforms, preferably Azure, with AWS/GCP knowledge being a plus. - Continuously improve the performance of data pipelines and reports through optimization and automation. Qualifications: - 5-7 years of experience in data engineering, focusing on BI solutions and Power BI development. Required Skills: - Strong expertise in Power BI (DAX, Power Query, report design) and building intuitive, high-performance dashboards. - Proven experience in designing and implementing ETL processes and star schemas for analytics cubes. - Hands-on experience with cloud data platforms like Snowflake, Databricks, or Microsoft Fabric. - Proficiency in SQL for querying and transforming large datasets. - Familiarity with Azure data services (e.g., Azure Data Factory, Synapse Analytics) or equivalent cloud tools. - Self-motivated with a proactive approach to problem-solving, capable of managing complex projects with minimal oversight. Preferred Skills: - Familiarity with data orchestration tools (e.g., Apache Airflow, Prefect). - Knowledge of data warehousing concepts and tools (e.g., Fabric, Redshift, BigQuery). - Exposure to AI/ML integration for predictive analytics or anomaly detection.,