Job Description

JOB DESCRIPTION

Skill: AWS Data Engineer

Role: T2

Required:

\xc2\xb7 4+ years of experience in Python, SQL, and ETL Design

\xc2\xb7 Proven experience in data modeling and building data pipeline architectures

\xc2\xb7 3+ years of experience in big data analytics (Spark, Impala, Hive, Presto)

\xc2\xb7 3+ years of experience with workflow management engines (Luigi, Prefect, Dagster, Airflow, digdag.io, AWS Step Functions, UC4, Control-M)

\xc2\xb7 Build systems that collect, manage, and convert raw data into usable information for data scientists and business analysts to interpret.

\xc2\xb7 Automating processes in Data Engineering

\xc2\xb7 Develop tools for data analysis and process automation

\xc2\xb7 Coordinate with product managers, software engineers, and data scientists to work on common projects that will involve leveraging datasets

\xc2\xb7 Proven experience in working with cloud analytics platforms or MPP analytics platforms such as AWS Redshift

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 \xe2\x80\x94 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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