Cloud Data Engineer

Key Skills

Java Programming, Python Programming, SQL, Azure, AWS, Safety & Quality Management System-SQMS, ETL/ELT technologies, NoSQL, Google Cloud Platform (GCP), ETL frameworks, Effective communication skills

Job Description

Infosys is seeking a Cloud Developer with development experience in any of the cloud platforms. The position will primarily be responsible interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle including Requirements Elicitation, and Design. You will play an important role in creating the high-level design artifacts. You will also deliver high quality code deliverables for a module, lead validation for all types of testing and support activities related to implementation, transition and warranty. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.

Required Qualifications:

• Candidate can be located anywhere in US for this position and should be willing to work in the PST timezone ,This position may require travel in the US and Canada.
• Bachelor’s 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.
• 4 years of Experience in Information Technology.
• 1 year of Experience in any of the cloud platforms – Azure or AWS or GCP
• Good experience in cloud based ETL technologies like Data Factory or Dataflow
• Knowledge and experience with full SDLC lifecycle
• Experience with Lean / Agile development methodologies
• U.S. citizens and those authorized to work in the U.S. are encouraged to apply.

Preferred Qualifications:

• 3 years of experience in DWH, ETL, BI Projects.
• Good experience with Spark/Scala and fair understanding of object oriented concepts, data structures and algorithms
• Good experience of relational as well as no-SQL data stores
• Good understanding of Data integration, Data Quality and data architecture
• Good expertise in impact analysis due to changes or issues
• Experience with design and implementation of ETL/ELT framework for complex warehouses/marts. Knowledge of large data sets and experience with performance tuning and troubleshooting
• Ability to work in team in diverse/ multiple stakeholder environment
• Excellent verbal and written communication skills
• Experience and desire to work in a Global delivery environment