Join Quantiphi as a Senior Data Engineer - Azure

At Quantiphi, technology drives our business, but a global and diverse culture defines our success. We are passionate about our people and pride ourselves on fostering a culture built on transparency, diversity, integrity, learning, and growth. If you are looking for an environment that encourages innovation and excellence not just in your professional life but personal life too, then Quantiphi is the place for you!

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 both relational and NoSQL database management systems, 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.
• Experience with 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.

Role & Responsibilities

• Developing 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.
• Establishing and enforcing data governance policies, ensuring data compliance with regulations and industry standards.
• Monitoring data solutions for performance and cost, making necessary adjustments for optimization.
• Creating data models as per client solution needs.
• Documentation of 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.
• Communicating with non-technical stakeholders to understand their data requirements and convey the benefits of data solutions, including migration strategies.

If you thrive in an environment of wild growth and enjoy working with happy, enthusiastic over-achievers, you'll love your career with Quantiphi!

Additional Information:
Company Name: Quantiphi
Job Title: Senior Data Engineer - Azure