Lead Azure Data Engineer

Role : Azure Data Engineer- Lead

Company : Feuji Software Solutions Pvt Ltd.,

Mode of Hire : Permanent Position

Experience : 5 10 years

Work Location : Hyderabad / Remote

About Feuji

Feuji, established in 2014 and headquartered in Dallas, Texas, has rapidly emerged as a leading global technology services provider. With strategic locations including a Near Shore facility in San Jose, Costa Rica, and Offshore Delivery Centers in Hyderabad, Vizag, and Bangalore, we are well-positioned to cater to a diverse clientele. Our team of 600 talented engineers drives our success, delivering innovative solutions to our clients and contributing to our recognition as a 'Best Place to Work For.'

We collaborate with a wide range of clients, from startups to industry giants in sectors like Healthcare, Education, IT, and engineering, enabling transformative changes in their operations. Through partnerships with top technology providers such as AWS, Checkpoint, Gurukul, CoreStack, Splunk, and Micro Focus, we empower our clients' growth and innovation. With a clientele including Microsoft, HP, GSK, and DXC Technologies, we specialize in managed cloud services, cybersecurity, Product and Quality Engineering Services, and Data and Insights solutions, tailored to drive tangible business outcomes.

Our commitment to creating 'Happy Teams' underscores our values and dedication to positive impact. Feuji welcomes exceptional talent to join our team, offering a platform for growth, development, and a culture of innovation and excellence.

Location: Hyderabad

Key Responsibilities

• Design and develop business-critical backend systems using high-quality data pipelines. 
• Assemble large, complex data sets that meet functional / non-functional business requirements. 
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Azure Databricks and Azure Datafactory. 
• Build a cloud-native, real-time stream processing & data lake platform that scales into the Zettabytes and beyond. 
• Build data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics. 
• Ability to automate data pipelines using LogicApps, Devops 
• Perform root cause analysis on external and internal processes and data to identify opportunities for improvement 
• Adopt for change, always open to replacing what you built yesterday with something better today. 
• Work with all stakeholders to design and code large scale batch and real-time data pipelines on the Azure. 
• Perform code reviews, and lead by example on code refactoring for readability, extensibility, and testability 

Requirements  

• A bachelor's degree in computer science or equivalent 
• Minimum 5+ years of experience as a Data Engineer, 
• Experience with Azure big data tools: Azure Databricks, Azure Synapse, ADLS, Azure Datafactory 
• Experience with relational SQL and synapse. 
• Excellent problem solving and analytic skills associated with working on structured and unstructured datasets using Azure bigdata tools 
• Experience with data pipeline and workflow management tools: ADF and Logic Apps 
• Experience with Azure cloud services: Azure Databricks, Azure SQL DB, Azure Synapse 
• Experience with scripting languages Python, PySpark