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Virtusa
Requirements:
· 4+ years of experience in IT and data base/data warehouse/Datalake domain.
· Strong SQL skills are essential; experience writing complex queries spanning multiple tables is required.
· Working knowledge of performance tuning of database queries (understanding the inner working of the query optimizer, query plans, indexes, partitions etc.).
· Experience in a ETL/data warehouse environment handling tera bytes of data.
· Working knowledge of data modelling and dimensional modelling tools and techniques.
· Exposure to scripting language like shell scripting, python is required.
· Experience in data quality, data governance, DataOps and latest data management techniques a bonus.
· Experience in working on Big Data Technologies like Hive, Impala, Hbase, Spark(Optional)
Job Description:
• As a member of the Data and Analytics group under the Securities Services Technology group, you will contribute to the team’s goal in enriching the data from various sources.
• You will be developing data pipelines (both real time and batch) to ingest, conform, transform and integrate data from various internal and external systems.
• You will gain an understanding of the complex domain model and define the logical and physical data model for the Securities services business.
• You will also constantly improve the lake processes by analysing them and possibly automating them where possible.
• You will be responsible for defining standards and best practices for the team in the areas of Code Standards, Unit Testing, Continuous Integration, and Release Management.
• You will be working with a wide variety of stakeholders (source systems, business sponsors, product owners, scrum masters, enterprise architects) and possess excellent communication skills to articulate challenging technical details to various class of people.
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