- Bachelors degree or foreign equivalent required from an accredited institution.
Will also consider three years of progressive experience in the specialty in lieu of every year of education - At least 5 years of experience in Pyspark, Spark with Hadoop distributed frameworks while handling large amount of big data using Spark and Hadoop Ecosystems in Data Pipeline creation , deployment , Maintenance and debugging
- Experience in scheduling and monitoring Jobs and creating tools for automation
- At least 4 years of experience with Scala and Python required.
- Proficient knowledge of SQL with any RDBMS.
- Strong communication skills (verbal and written) with ability to communicate across teams, internal and external at all levels.
- Ability to work within deadlines and effectively prioritize and execute on tasks.
Preferred Qualifications:
- At least 1 years of AWS development experience is preferred
- Experience in Drive automations
- DevOps Knowledge is an added advantage.
Skills Required
Rdbms, Scala, Python