Data Engineer

2 weeks ago


Doha, Qatar Virtusa Full time

Role & responsibilities:
Exp
- 5+ yrs

Location
- Doha, Qatar

Experience with object-oriented/object function scripting languages: Python, Scala, etc Experience in Python programming and libraries like Pandas, NumPy, SciPy Experience in shell script and simple Linux comman Strong analytic skills related to working with semi-structured datasets like JSON and XML Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience building and optimizing 'big data? data pipelines, architectures and data sets. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement Experience in programming using Azure Databricks and ADLS Experience with relational SQL and NoSQL databases, including Postgres. Experience with Azure cloud services: ADLS, Key Vaults, ADF, Log Analytics Knowledge with stream-processing systems: Spark-Streamiz

**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 36,000 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.


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