Data Engineer

As a Data Engineer, you are required to:

·       Implement / Deploy large, structured and unstructured databases based on scalable cloud infrastructures

·       Port data across data-sources /DB systems to improve performance, scalability or to facilitate analytics.

·       Develop technical solutions which combine disparate information to create meaningful insights for business, using Big-data architectures (supportive role along with Data Architect)

·       Stay curious and enthusiastic about using related technologies to solve problems and enthuse others to see the benefit in business domain

·       Develop prototypes and proof of concepts using multiple data-sources, AI/ML methods and big-data technologies

Qualification: Bachelor's or Master's in Computer Science & Engineering, or equivalent. Professional Degree in Data Science, Engineering is desirable.

Experience level:  At least 3 - 5 years hands-on experience in Data Warehousing, ETL and RDBMS. Experience on Data Analytics and should be inclined towards cloud technologies like Azure/AWS.

Desired Knowledge & Experience:

·       Expert knowledge and multi-year (3+) experience on Data Warehousing, ETL, Data Modeling & Data migration projects

·       Well-versed in relational database design and experience with processing and managing large data sets (multiple TB scale). (e.g. Snow Sql, Microsoft SQL, Oracle

·       Exceptional knowledge of data wareshousing solutions (e.g Snowlflake)

·       Exceptional knowledge in Data Warehousing concepts (Data Modelling, , Data Vault Architecture , STAR Schema, Snowflake Schema and various Data Warehousing concepts)

·       Strong knowledge on Extract Transform & Load concept (any tool is fine e.g. Knime, ssDBT, Informatica…etc)

·       Good know-how & experience on Dataops (Data Orchestration / Workflow management & Monitoring Systems) and suggest improvements / inputs for CI/CD

·       Knowledge of any reporting/BI tool (e.g. PowerBI)

• Knowledge of Azure cloud-based Data Storage and Services like (Azure BLOB, AZURE Databricks, Azure Data Factory, etc) is preferred
• Strong written/communication skill to be work with partners along the globe

Required Soft skills & Other Capabilities:

·       Great attention to detail and good analytical abilities.

·       Good planning and organizational skills

·       Collaborative approach to sharing ideas and finding solutions

·       Ability to work independently and also in a global team environment.