Requirement: Azure Data Engineer
Experience: 3-4 years
Location: Pune
Primary Skill : Databricks, Azure Synapse, Pyspark, Python, Azure Data Lake, Data Lake Storage, sql ,data modeling, ETL, Microsoft Azure
About Company
Company Overview -
Bridgenext is a Global consulting company that provides technology-empowered business solutions for world-class organizations. Our Global Workforce of over 2000 consultants provide best in class services to our clients to realize their digital transformation journey. Bridgenext helps clients innovate with intention and realize their digital aspirations by creating digital products, experiences, and solutions around what real people need. Our global consulting and delivery teams facilitate highly strategic digital initiatives through digital product engineering, automation, data engineering, and infrastructure modernization services, while elevating brands through digital experience, creative content, and customer data analytics services.Our clients span the emerging, mid-market and enterprise space. With multiple offices worldwide, we are uniquely positioned to deliver digital solutions to our clients leveraging Microsoft, Java and Open Source with a focus on Mobility, Cloud, Data Engineering, and Intelligent Automation. Bridgenext’s singular mission is to create “Clients for Life” - long-term relationships that deliver rapid, meaningful, and lasting business value.At Bridgenext, we have a unique blend of Corporate and Entrepreneurial cultures. This is where you would have an opportunity to drive business value for clients while you innovate and continue to grow and have fun while doing it. You would work with team members who are vibrant, smart, and passionate and they bring their passion to all that they do – whether it’s learning, giving back to our communities, or always going the extra mile for our client. Don't just work, thrive. At Bridgenext, you have an opportunity to make a real difference - driving tangible business value for clients, while simultaneously propelling your own career growth. Our flexible and inclusive work culture provides you with the autonomy, resources, and opportunities to succeed.
URL: https://www.bridgenext.com/
Job Summary
We are seeking a skilled and experienced Azure Data Engineer to join our dynamic team. The ideal candidate will be responsible for designing, implementing, and maintaining data solutions on the Azure cloud platform. The candidate should have a strong background in data engineering, including ETL processes, data warehousing, and database management. The role requires expertise in Azure services such as Azure Data Factory, Azure SQL Database, Azure Databricks, Microsoft Fabric and other relevant technologies. The Azure Data Engineer will collaborate with cross-functional teams to ensure the successful delivery of scalable and efficient data solutions.
Minimum 3-4 Years of Experience in Data Integration platform on cloud (Azure preferred)
Job Responsibilities
- Solution Design and Architecture:
- Collaborate with stakeholders to understand business requirements and design scalable data solutions on the Azure platform.
- Create and maintain data architecture diagrams and documentation.
- Data Ingestion and ETL:
- Develop and implement ETL processes using Azure Data Factory, Azure Databricks, and other relevant tools.
- Design and optimize data pipelines to ensure efficient data processing and transformation.
- Data Storage and Management:
- Implement and manage Azure SQL Database, Azure Data Lake Storage, and other Azure data storage solutions.
- Ensure data integrity, security, and compliance with industry best practices and organizational standards.
- Data Transformation and Processing:
- Utilize Azure Databricks and other tools for data transformation and processing.
- Optimize queries and data processing workflows for performance and efficiency.
- Monitoring and Optimization:
- Implement monitoring solutions to track the performance and health of data solutions.
- Identify and resolve performance bottlenecks and optimize data processing workflows.
- Collaboration and Communication:
- Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders.
- Communicate effectively with technical and non-technical audiences, providing insights and recommendations.
- Automation and Scripting:
- Develop scripts and automation processes to streamline data engineering tasks.
- Implement infrastructure as code (IaC) for managing Azure resources.
Qualifications
- Bachelor’s degree in computer science, Information Technology, or a related field.
- Proven experience as a Data Engineer with a focus on Azure cloud technologies.
- In-depth knowledge of Azure Data Factory, Azure SQL Database, Azure Databricks, and other relevant Azure services.
- Strong proficiency in SQL, Python, and/or other scripting languages.
- Experience with data modeling, schema design, and database performance tuning.
- Familiarity with data warehousing concepts and best practices.
- Excellent problem-solving and analytical skills.
- Effective communication and collaboration skills.
- Relevant certifications such as Microsoft Certified: Azure Data Engineer Associate are a plus.
If you meet these qualifications and are excited about the opportunity to work with cutting-edge Azure technologies to solve complex data challenges, we encourage you to apply. Join our team and be a key contributor to the success of our data-driven initiatives.