AWS Data Engineer

P2-C3-STS

Environment Management/Infrastructure/Scheduling

Should possess 5 years of experience in infrastructure support, job scheduling.
The role involves managing batch jobs, automating workflows, and ensuring efficient data pipeline operations.
Hands on experience with Kyvos scheduler, including
Setting up and maintaining Kyvos schedules.
Triggering Kyvos cubes post ETL/DWH load events.
Integrating Kyvos with external tools (Airflow, Autosys, shell scripts).
Proficiency in Apache Airflow:
Authoring DAGs in Python.
Managing task dependencies, retries, and SLA monitoring.
Expertise in Autosys job scheduling
Job creation, maintenance, and troubleshooting.
Managing complex job chains and calendar-based triggers. Strong knowledge of data warehouse concepts and ETL workflow dependencies.
Scripting skills Shell, Python, Bash) for automation and integration.
Excellent analytical and troubleshooting skills in a production support environment.
AWS CDK with Type Script, Cloud formation template.

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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 27,000 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.