What are my responsibilities?

As a Data Engineer, you are required to:

• Work with large, complex data sets that meet both functional and non-functional business requirements.

• Build the necessary infrastructure for extracting, transforming, and loading data from various sources. Using technologies like Azure and SQL.

• 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.

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 - 4 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. T-SQL, Microsoft SQL, Snowflake).

• 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 working knowledge on Extract Transform & Load concept using Azure Data Factory.

• 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 etc…).

• Knowledge of Azure cloud-based Data Storage and Services like (Azure BLOB, AZURE Databricks, Azure Data Factory, etc) is preferred.

• Sound knowledge in programming languages like Python, R will be an added advantage. 

• 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:

• 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.