Job Summary

- You are detailed in reviewing and analyzing structured, semi-structured and unstructured data sources for quality, completeness, and business value.
- You design, architect, implement and test rapid prototypes that demonstrate value of the data and present them to diverse audiences.
- You participate in early state design and feature definition activities.
- Responsible for implementing robust data pipelines using Microsoft and Databricks Stack.
- Responsible for creating reusable and scalable data pipelines.
- You are a team-player, collaborating with team members across multiple engineering teams to support the integration of proven prototypes into core intelligence products.
- You have strong communication skills to effectively convey complex data insights to non-technical stakeholders.
- You have experience working collaboratively in cross-functional teams and manage multiple projects simultaneously.

Locations

Locations: Hyderabad; Chennai; Noida

Requirements

- Advanced working knowledge and experience with relational and non-relational databases.
- Experience building and optimizing Big Data pipelines, architectures, and datasets.




- Robust analytic skills related to working with structured and unstructured datasets.
- Hands-on experience in Azure Databricks utilizing Spark to develop ETL pipelines.
- Strong proficiency in data analysis, manipulation, and statistical modeling using tools like Spark, Python, Scala, SQL, or similar languages.
- Strong experience in Azure Data Lake Storage Gen2, Azure Data Factory, Databricks, Event Hub, Azure Synapse.
- Familiarity with several of the following technologies: Event Hub, Docker, Azure Kubernetes Service, Azure DWH, API Azure, Azure Function, Power BI, Azure Cognitive Services.
- Azure DevOps experience to deploy the data pipelines through CI/CD.

Qualifications and Experience

- Minimum 5-7 years of practical experience as Data Engineer.
- Bachelor degree in computer science, software engineering, information technology, or a related field.
- Azure cloud stack in-production experience.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Engineer (Noida)
🏢 Techcarrot Fz
📍 Noida