While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
Experience: 3 to 6 Years
Location: Mumbai/Bangalore/Trivandrum (Hybrid)
Must have skills:
Profound knowledge and expertise in Microsoft Azure, including Azure Data services like Azure SQL Database, Azure Data Lake Storage, Azure Synapse, Azure Databricks, Azure Data Factory etc.
Strong skills in data modeling to design efficient and scalable data solutions.
Proficiency in data integration techniques, ETL processes, and data pipeline development using Azure services.
In-depth understanding of data governance principles, data security, and compliance requirements (e.g., GDPR, HIPAA), and the ability to implement these in Azure environments.
Experience with database management systems, both relational and NoSQL, and the ability to choose the right storage solutions for different data types.
Proficiency in SQL for querying and working with relational databases, as well as knowledge of NoSQL databases
Familiarity with data analysis tools and reporting platforms such as Power BI, Tableau, or similar.
Strong programming skills in languages like Python, Java, or C# for scripting, automation, and data manipulation.
The ability to manage data-related projects, work collaboratively with cross-functional teams, and meet project deadlines
Strong documentation skills and excellent communication skills for conveying complex technical concepts to non-technical stakeholders
Good to have skills:
Relevant Microsoft Azure certifications, such as Azure Data Engineer or Azure Solutions Architect, can enhance your credibility.
Knowledge of big data technologies like Hadoop and Spark for handling large datasets.
Good to have experience in Snowflake
Familiarity with machine learning concepts and Azure Machine Learning for implementing data-driven models.
Experience with DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines for data solutions.
Understanding of real-time data processing and streaming technologies, such as Azure Stream Analytics.
Skills in advanced analytics, data mining, and statistical analysis is a good to have.
Role & Responsibilities:
Developing the data integration solutions to bring data from various sources into Azure, ensuring data quality and consistency.
Choosing and implementing appropriate Azure data storage solutions for different data types and optimizing for performance and cost.
Implementing data processing solutions using Azure services, optimizing for performance and scalability.
Executing data migration projects, including migrations from on-premises environments to Azure and between different cloud platforms.
Establishment and enforcement of data governance policies, ensuring data is compliant with regulations and industry standards.
Monitoring data solutions for performance and cost, making necessary adjustments for optimization.
Create data models as per client solution needs
Documentation for data architecture and solutions
Collaboration with cross-functional teams, including data engineers, data scientists, and business stakeholders, to ensure data solutions meet business needs.
Adhering to project timelines
Communicate with non-technical stakeholders to understand their data requirements and convey the benefits of data solutions, including migration strategies
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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