Technical Intern

Title: Data Engineer

What are my responsibilities?

As a Data Engineer, you are required to:

• Develop prototypes and proof of concepts using multiple data-sources, AI/ML methods and big-data technologies
• Implement / Deploy large, structured and unstructured databases based on scalable cloud infrastructures
• Port data across data-sources /DB systems in order 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: Bachelors or Masters in Computer Science & Engineering, or equivalent. Professional Degree in Data Science, Engineering is desirable.

Experience level: At least 0 - 2 years hands-on experience in the area of DB; with working experience on Data Engineering, Data Analytics in atleast 2 projects.

Desired Knowledge & Experience:

• Knowledge / Experience in conventional DB technologies (RDBMS, Object Oriented)
• Strong Knowledge/Experience in using query languages such as SQL
• 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)
• Expertise/Knowledge of Data Warehousing solutions (e.g Teradata, Snowflake)
• Good knowledge in Data Warehousing concepts (Data Modelling, STAR Schema, Snowflake Schema and various Data Warehousing concepts)
• Basic knowledge on Extract Transform & Load concept (any tool is fine e.g. SAS DI Studio, Informatica…etc)
• Knowledge of any reporting/BI tool (e.g. Qlik, Tableau, PowerBI, SAS VA etc…)
• Basic 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
• Knowledge/Expertise with NoSQL databases such as MongoDB, Cassandra, HBase, is desirable.
• Knowledge of Cloud technologies and frameworks in Microsoft Azure and Amazon AWS environment is desirable
• 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.

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