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: Bachelor's or Master's 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.