Data Engineering - Buenos Aires, Argentina - Cognizant Technology Solutions

    Cognizant Technology Solutions
    Cognizant Technology Solutions Buenos Aires, Argentina

    hace 3 semanas

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    Descripción

    At #Cognizant, we have an ideal opportunity for you to be part of one of the largest companies in the digital industry worldwide. A company where we look for people who contribute new ideas, experiencing a dynamic and growing environment. At Cognizant, we promote an inclusive culture where we value different perspectives.

    We are currently looking for a Data Engineering - SQL/TSQL and Azure to work for an assurance, tax, strategy and consulting services project.

    What you ́ll do

    As Data Engineering - SQL/TSQL and Azure you will support architects for Embedded SRE (Platform) to help current data architects in the day-to-day tasks supporting various teams in GTP. Successful candidates must have sound skills and hands-on experience with SQL Server, strong SQL skills (familiar with T-SQL and complex queries), and the ability to troubleshoot poor-performant queries.

    What do we value?

    People with initiative and responsibility, who have good diction and excellent treatment with the client. We will assess those who have a technical profile or related experience in the role.

    Key Responsibilities:

    · Understanding the specific requirements of our internal customers and providing tailored synthetic data solutions.

    · Work with dynamic T-SQL queries, DDL, DML statements for creating objects, making updates, and managing user permissions.

    · Design the data warehouse schema and optimize the existing reporting for the trading re-conciliation and compliance system.

    · Used database consistency checks using DBCC utilities.

    · Provide strategic vision and tactical direction for the DBA function.

    · Analyze the long running and high CPU utilize queries on the server by using profiler and performance monitoring.

    · Design data models and support developers by tuning queries creating views, store procedures, functions and DTS packages.

    · Work on dynamic SQL batches for bulk data transfers into OLTP environment and event handle with alerts on package functioning.

    · Create multiple dimensions, perspectives, hierarchies, and dynamic measures (DAX) to analyze performances of each KPI.

    Necessary skills and experience required:

    · Bachelor's degree in computer science, Data Science, Statistics, or a similar quantitative field.

    · Language Level: Advanced English

    · Knowledge of index structures, statistics and query metrics are a must.

    · Knowledge of disaster recovery/high availability solutions.

    · Knowledge of SQL Server development/administration tools.

    · SQL Server Management Studio.

    · Azure Data Studio.

    · Proficiency with SQL Server profiling tools.

    · High proficiency in writing clean, maintainable, and performant TSQL code.

    · Knowledge of Git, or any other versioning tool, to maintain the source code of the definition of database objects and scripts.

    · Data modelling skills

    · Excellent analytical and problem-solving skills, self-motivated and self-starter

    · Strong communication skills with the ability to make complex concepts understandable.

    · Strong research skills

    · Ability to work and coordinate with multiple stakeholders and customers.

    Why Cognizant?

    · A career in one of the largest and fastest growing IT services providers worldwide.

    · Ongoing support and funding with training and development plans.

    · Opportunity to work for leading global companies.

    · Our work environment is diverse, collaborative and inclusive. We create conditions for everyone to thrive.

    · A highly competitive salary and great benefits, such as OSDE for you and your primary family group, annual bonus and many other benefits that we are going to share during the selection process.

    Location: Buenos Aires, Argentina.

    Shift: 9 a 18hs, Full Time.

    Are you ready?

    Join our team