3Pillar Global
Lead Data Engineer (Azure PaaS & Product Engineering) (10+ Years of Exp)
Be an Early Applicant
Lead the design and implementation of scalable data engineering solutions on Azure, optimizing performance and mentoring teams. Ensure data quality and security while delivering analytics-ready datasets through collaboration.
We are building a customer-facing data platform from the ground up. The platform requires real-time data ingestion, high availability, and integration with Generative AI.
You will lead architecture decisions on Azure, sitting between Backend Engineering and Data Engineering. You will own a code-first approach: Python-based pipelines and APIs, not drag-and-drop ETL tools.
Responsibilities
- Design event-driven ingestion architectures. Select appropriate Azure compute (Functions, Durable Functions, containers) based on workload characteristics.
- Design OLTP schemas for sub-second application retrieval, not just offline reporting.
- Architect data flows for RAG workflows. Ensure unstructured text is processed and indexed for vector search.
- Build reusable Python frameworks. Enforce unit testing, CI/CD, and code reviews within the data team.
- Own synchronization between operational databases (SQL/NoSQL) and analytical workloads. Design for consistency, replay capability, and clear separation between serving and analytical layers.
Required Skills
- 10+ years in IT, with 5+ years as a Lead or Architect.
- Software engineering background (APIs, microservices) before moving into data. You understand that cloud data engineering is software development.
- Expert Python skills for backend processing, API integration, and automation. Clean, testable, production-grade code.
- Hands-on Azure experience: Functions (Consumption/Flex), Event Grid, Event Hubs. You understand tradeoffs between serverless, container-based, and dedicated compute.
- Experience building pipelines that feed LLMs or vector databases.
- Lakehouse architecture: medallion patterns, Delta Lake semantics, separation of storage and compute. Experience with Microsoft Fabric or Azure Databricks.
- Data modeling for both transactional systems and analytics. You know the difference between designing for an app vs. a data lake.
Good to Have
- DP-203, DP-600, or Databricks Data Engineer Associate certification.
- Azure AI Search experience.
- Commercial SaaS product background.
Tech Stack
- Python, SQL, PySpark, Spark, Azure Data Lake (ADLS Gen2), Azure Functions, Event Grid, Event Hubs, Delta Lake, Microsoft Fabric, Azure Databricks, REST APIs, Kafka, Airflow, Docker, Kubernetes, Git, Terraform, Data Pipelines, Streaming, Big Data, Data Governance, Data Quality
Regards
Rajan Paul(Linkedin Profile)
Talent Acquisition
3Pillar Global
Top Skills
Azure Data Factory
Azure Data Lake
Microsoft Fabric
Power BI
Python
SQL
Synapse
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The Solution Sales Executive will manage the market success of ServiceNow's Moveworks AI products, supporting sales strategy, customer engagement, and collaboration with account teams to enhance enterprise process execution and value realization through AI integration.
Top Skills:
AIBusiness Sales ProcessesDigital Transformation
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
The role involves troubleshooting high-priority incidents, monitoring applications for reliability, collaborating with teams, and applying Site Reliability Engineering principles.
Top Skills:
.NetAdobe AemAkamaiAppdynamicsAWSAzureDecibelDockerElasticEsxiGCPGremlinGroovyHadoopHbaseIbm Db2JavaMedalliaMongoDBMssqlNode.jsOpenshiftOraclePythonReactRemixSplunkTinkerpopVmware VropsZenoss Routing
Cloud • Fintech • Information Technology • Machine Learning • Software • App development • Generative AI
The role involves managing HRIS platforms, integrating Workday with external systems, developing enhancements, and providing support while ensuring quality and continuous improvement.
Top Skills:
AdpAutomation ToolsCloudpayFidelityJIRAPythonWorkdayWorkday ExtendWorkday PrismWorkday Studio
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
