- As a Data Engineer, you are required to:
- Developprototypes and proof of concepts using multiple data-sources, AI/ML methods andbig-data technologies
- Implement/ Deploy large, structured and unstructured databases based on scalable cloudinfrastructures
- Port dataacross data-sources /DB systems in order to improve performance, scalability orto facilitate analytics.
- Developtechnical solutions which combine disparate information to create meaningfulinsights for business, using Big-data architectures (supportive role along withData Architect)
- Staycurious and enthusiastic about using related technologies to solve problems andenthuse others to see the benefit in business domain
- Qualification: Bachelors or Masters in Computer ScienceEngineering, or equivalent. Professional Degree in Data Science,Engineering is desirable.
Desired Knowledge Experience:
- Expert knowledge and multi-year (5+) experience on data transformation, data bases and data quality management.
- Well-versed in relational database design and experience with processing and managing large data sets (multiple TB scale). (e.g. T-SQL, Microsoft SQL, Oracle)
- Exceptional knowledge in Azure Data Engineering stack.
- Strong knowledge of Azure cloud-based Data Storage and Services like (Azure BLOB, AZURE Databricks, Azure Data Factory, etc) is preferred
- Should be able to handle and analyze large volumes of data using technologies like Azure Databricks and Apache Spark. Responsible to create data processing workflows and pipelines to support data analytics and machine learning applications.
- Exceptional knowledge of data warehousing solutions (Snowflake)
- Exceptional knowledge in Data Warehousing concepts (Data Modelling, STAR Schema, Snowflake Schema and various Data Warehousing concepts)
- Strong knowledge on Extract Transform Load concept (Azure Data Factory knowledge will be added advantage)
- 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. Qlik, Tableau, PowerBI, SAS VA etc )
- Strong inclination towards working in any BigData projects
- Strong written/communication skill to be work with partners along the globe
Required Soft skills Other Capabilities:
Greatattention to detail and good analytical abilities.
Goodplanning and organizational skills
Collaborativeapproach to sharing ideas and finding solutions
Ability towork independently and also in a global team environment
