Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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
Company Overview
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