Numeric Technologies
Website:
numerictech.com
Job details:
About the job
Company: Numeric Technologies
Company Website: https://numerictech.com
Type: Permanent with Numeric Technologies
Numeric, incorporated in 1996 is a worldwide Business & Information Technology, Consultingand Services company. Headquartered in Chicago, IL with additional offices in Miami, Silicon Valley, Luxembourg, UK as well as delivery centers in India (Bengaluru,Hyderabad,Chennai) to serve our customers on offshore needs.We at Numeric Technologies pride ourselves for providing our customers with the best services and solutions. We believe that the right people in the right time and the right position are the key to our company’s improvement; we continue to endeavor and develop our company through our corporate culture and values.
Position: Azure Data Engineer
Experience: 4+ Years
Location: BLR/Remote
Shift: 2 PM to 11 PM
Notice Period : 0 to 15 days
Job Summary
We are seeking a highly skilled Azure Data Engineer with strong expertise in Python development, Azure cloud services, API integration, and modern data engineering practices. The ideal candidate should have experience building scalable cloud-native data solutions, developing ETL/ELT pipelines, processing APIs, and automating deployments using CI/CD frameworks.
The role requires hands-on expertise in Azure Functions, Azure Blob Storage, Azure SQL, Stored Procedures, Azure IAM, Python, Pandas, and enterprise-grade data integration solutions.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT data pipelines on Microsoft Azure.
- Build serverless data processing solutions using Azure Functions.
- Develop and optimize solutions using Azure Blob Storage and Azure SQL Database.
- Write complex SQL queries, stored procedures, views, and performance-optimized database objects.
- Develop robust Python-based data processing and automation frameworks.
- Process and integrate data from REST APIs, third-party APIs, and enterprise systems.
- Perform data transformation and analysis using Pandas and Python libraries.
- Implement secure authentication and authorization mechanisms using Azure IAM, RBAC, and Managed Identities.
- Build and maintain CI/CD pipelines using Azure DevOps or GitHub Actions.
- Monitor, troubleshoot, and optimize production data pipelines and cloud services.
- Collaborate with cross-functional teams including architects, analysts, and business stakeholders.
- Ensure data security, governance, reliability, and operational excellence across Azure environments.
Required Skills
Azure Technologies
- Azure Functions
- Azure Blob Storage
- Azure SQL Database
- Azure Data Factory (ADF)
- Azure Key Vault
- Azure IAM / RBAC
- Azure Monitor / Log Analytics
Python & Data Processing
- Strong hands-on experience in Python programming
- Expertise in Pandas for data transformation and analysis
- API processing and integration experience
- REST API consumption and authentication handling
- JSON/XML data processing
- Data validation and transformation frameworks
Database & SQL
- Advanced SQL programming
- Stored Procedures
- Query optimization and performance tuning
- Data modeling and database design
DevOps & CI/CD
- Azure DevOps
- CI/CD pipeline automation
- Git/GitHub version control
- Deployment automation and release management
Additional Skills
- Strong problem-solving and debugging skills
- Experience working in Agile/Scrum environments
- Knowledge of data warehousing concepts
Preferred Qualifications
- Experience with Databricks, Synapse Analytics, or Snowflake.
- Exposure to PySpark and big data processing frameworks.
- Knowledge of Infrastructure as Code (Terraform/ARM templates).
- Familiarity with Power BI reporting and analytics.
- Azure certifications are preferred:
- Microsoft Certified: Azure Data Engineer Associate
- Azure Developer Associate
Click on Apply to know more.