inforcer ऐसे सॉफ़्टवेयर विकसित करता है जो Managed Service Providers (MSPs) को कई क्लाइंट टेनेंट में Microsoft 365 की सुरक्षा प्रबंधित करने में मदद करता है। इसका प्लेटफ़ॉर्म नीति परिनियोजन को स्वचालित करने, कॉन्फ़िगरेशन को मानकीकृत करने और Microsoft परिवेशों में अनुपालन संबंधी प्रयासों को समर्थन देने में मदद करता है। इससे MSPs अधिक सुसंगत सुरक्षा सेवाएँ प्रदान कर सकते हैं और बहु-टेनेंट प्रबंधन से जुड़े परिचालन प्रयास तथा जोखिम कम कर सकते हैं।
Data Engineer
Build scalable data platforms, integrations and ETL pipelines for inforcer’s cybersecurity and AI products. Enable analytics, automation, reporting and AI initiatives.
विवरण
- Design and evolve a scalable data lake and modern platform architecture.
- Build storage solutions for structured and unstructured data.
- Support data governance, security and compliance.
- Improve data models and storage performance.
- Develop ingestion frameworks for internal and external systems.
- Integrate SaaS platforms, databases, APIs and third-party applications.
- Implement batch and real-time ingestion.
- Manage data synchronisation and change data capture.
- Create and maintain ETL/ELT pipelines.
- Turn raw data into trusted, business-ready datasets.
- Monitor pipeline performance and address issues proactively.
- Increase reliability, scalability and automation across the data platform.
- Establish data validation and quality controls.
- Set up monitoring and alerts for critical pipelines.
- Investigate data issues and identify root causes.
- Maintain platform availability and data integrity.
- Collaborate with business stakeholders, analysts, engineers and leaders.
- Deliver reliable data for reporting, analytics and AI work.
- Help shape data architecture and platform roadmaps.
- Document solutions and encourage sound engineering practices.
आवश्यकताएँ
- Demonstrated experience as a data engineer or in a comparable position.
- Strong SQL skills and experience handling large datasets.
- Commercial experience building ETL/ELT pipelines.
- Experience developing data integrations and ingestion frameworks.
- Strong Python development skills.
- Experience working in cloud data environments.
- Knowledge of data modelling and database design principles.
- Experience with Microsoft Azure and Azure Data Lake Storage (ADLS).
- Experience with Azure Data Factory, Databricks, Apache Spark, dbt or Airflow.
- Experience with Azure Synapse Analytics or Snowflake.
- Experience using Git for version control.
- Experience integrating REST APIs and working with event-driven architectures.
- Knowledge of Kafka or other streaming technologies.
- Understanding of change data capture (CDC) patterns.
- Knowledge of data governance and master data management practices.
- Ability to communicate clearly with technical and non-technical stakeholders.
लाभ
- A steep, ongoing learning curve with strong enablement.
- A high-trust, autonomous environment where your work has impact.
- A culture of transparent, honest communication.
- A global team of exceptional colleagues.
- Monthly team social events.
- Employee recognition programs that reward strong contributions.
- An inclusive and diverse workplace.