Data Engineering

Mphasis applies next-generation technology, cloud, and cognitive solutions to help enterprises transform their businesses globally. The Data Engineer will develop and maintain enterprise data solutions using Python, Tableau, AI/ML, cloud platforms, Snowflake, databases, and ETL tools while collaborating with cross-functional stakeholders and proposing system improvements.

Responsibilities:

• Excellent communication and collaboration abilities
• Excellent communication and collaboration abilities
• Adaptability and a willingness to learn new technologies and techniques
• Create, test, and implement enterprise-level apps with Snowflake
• Snowflake modeling roles, databases, schemas
• Snowflake warehousing, architecture, processing, administration
• Maintenance of ideal data pipeline based on ETL tools

Requirements:

• 2 to 6 years of experience as data engineer with Python and Tableau along with AI ML exposure
• Knowledge of database management systems, both relational SQL PostgreSQL and non-relational (MongoDB, Cassandra)
• Strong problem-solving and analytical skills
• Tableau, Data Engineer, Python, AI ML
• Google cloud Platform (GCP), Amazon web serviced (AWS)
• Observability, Data science Data visualization
• Business Intelligence
• SQL, No SQL database
• Oracle, Mongo DB, Cassandra
• Excellent communication and collaboration abilities
• Adaptability and a willingness to learn new technologies and techniques
• Excellent Communication skills and collaboration skills
• Ability to propose and implement improvements in the system
• Ability to work with cross-functional stakeholders