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 : Bachelors or Masters 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.