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Azure Data Engineer Architect
Job description
KEY RESPONSIBILITIES
• Participate in requirements gathering, database design, testing and production deployments.
• Analyse system/application requirements and design innovative solutions.
• Translating business requirements to technical specifications— data streams, data integrations,
data transformations, databases, data warehouses & data validation rules.
• Design and develop SQL Server database objects (i.e., tables, views, stored procedures, indexes,
triggers, constraints, etc.)
• Understand design and develop apache spark notebooks in Azure databricks.
• Analyze and design data flow, data lineage mapping and data models.
• Optimize, scale and reduce the cost of analytics data platforms for multiple clients.
• Adherence to data management processes and capabilities.
• Enforcing compliance with data governance and data security.
• Performance tuning and query optimizations in terms of all the database objects.
• Perform unit and integration testing.
• Create technical documentation.
• Develop and assist team members.
• Provides training to the team members.
DESIRED PROFILE
• Graduate(BE/B.Tech)/Masters(ME/M.Tech/MS) in Computer Science or equivalent from a
premier institute (preferably NIT) with a minimum of 8 - 10 years of experience.
• Having good implementation experience in :Azure Services: Azure Data Factory, Azure Databricks,
Azure SQL, Azure Data Lake Storage (ADLS), Azure Key Vault
o Programming & Frameworks: Python, PySpark, Spark SQL
• Data Engineering Capabilities:
o Building and consuming REST APIs
o Multithreading and parallel processing in Databricks
o Hands-on experience with medium to large-scale data-warehousing projects on Databricks
o Robust error handling, exception management, and logging in Databricks
o Performance tuning and optimization across Spark jobs, SQL queries, and Databricks jobs
• Have good implementation of Unity catalog, delta table handling – Optimizations, clustering,
partitioning, time travel etc
• Professional Competencies: Strong collaboration skills, effective problem-solving, and the ability
to learn quickly
• Experience with Test Driven Development, Continuous Integration, Continuous Deployment etc.
• Strong analytical and technical skills, have knowledge on best practices from databricks
implementation.
• Good verbal and written communication.
Key job details
About Virtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa is an Equal Opportunity Employer. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview. All candidates must be authorized to work in the USA.
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