Job Description

15 years of Architecting & Developing Experience working in Big Data Technologies using Apache, Hadoop, Spark & SQL etc.


5 years of strong Development/ Coding experience using Spark with Python


Minimum 3 Years experience working on Databricks on AWS based Cloud Services


5 years of strong experience in Big Data design, modelling & Development such as star schema and snowflake, database design using data modeling tools such as Erwin, ER/Studio etc.


Proven experience in designing Data Pipelines & Processing for ETL/ELT processes and data warehouses in complex, large-scale environments


Hands-on experience in performance tuning, optimizing & scaling of large scale Hierarchical workloads and processes


Familiarity with New Age Data Platforms like Databricks & it's associated components on cloud Providers such as AWS, Azure, or Google Cloud, and cloud-native data services (e.g., Redshift, BigQuery, Synapse).


Working Experience of data governance, data quality principles, and metadata management in Databricks


Ability to work in fast-paced environments, manage multiple priorities, and deliver on time in complex projects.


Experience in a data platform re-engineering or modernization project is preferred


Knowledge of data lakes, data mesh, and modern data architecture principles is good to have

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 30,000 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 was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.