Data Engineer (Azure)

As a Data Engineer, you will be part of a dynamic team of data engineers and being responsible for technical design, implementation, optimizing and maintenance of data engineering solution components for our customers. Your will be required to have strong hands-on experience in implementing complex data engineering solutions on Azure, with a good understanding of data warehouse, data lake and lake-house architecture patterns.

Requirements:

• 4+ years of hands-on experience in design, development and implementation of data engineering solutions
• Good understanding of database concepts and strong hands-on experience in SQL development, including performance tuningand query optimization
• Good understanding of programming concepts with Python
• Strong hands-on experience in implementing data pipelines using PySpark or Spark Scala
• Must have an understanding of streaming data pipelines for near real-time analytics
• Hands-on experience and good understanding of AWS services for data engineering, including Azure Data Factory, AzureFunctions, Azure Databricks, Azure Synapse Analytics, Azure Event Hub, Azure Stream Analytics and Azure Data Lake Storage
• Good understanding and experience working with at-least one NoSQL database
• Good understanding of modern data architecture patterns and industry trends in data engineering space
• Good understanding of data governance concepts for data platforms and analytical solutions
• Experience with version control tools like Git for managing version control for source code
• Experience with DevOps processes, including experience implementing CI/CD pipelines for data engineering solution components
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills

Good to Have:

• Certifications on Azure platform, preferably related to Data Engineering
• Experience working with Azure Kubernetes Service, Container Apps and API Management
• Good understand and experience working with BI/visualization tools like PowerBI

Location: Chennai, Bangalore

Employment Type: Full-Time

Experience: 4+ years

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Website:

About Neoware

Neoware is a specialist Data to Intelligence solutions provider. We combine consulting, data engineering, AI/ML, Gen AI and BI expertise with core values - Care, Pursuit of Excellence and Outcome Focus. We help customers solve problems and find answers to challenges in financial Services, healthcare and pharma, manufacturing, media and publishing, sports, technology, energy and utilities and retail.

At Neoware, we partner with technology leaders like AWS, Snowflake, Google Cloud, Databricks and Mage Data in data, intelligence and security. They are our extended team, and our collaboration goes beyond capability building to develop solution accelerators for faster implementation.

Headquartered in New Jersey, USA, with key operations in India (Chennai and Bangalore), Neoware is committed to drive innovation and excellence in the Data and AI landscape.