Kagool - Azure Data Engineer - DataLake/Data Factory (5-7 yrs)

Kagool is Microsoft Partner of the Year. We help global enterprises modernize their Data landscapes quickly to a high standard using Azure cloud services. We are rapidly growing our global Data & AI practices and looking for hard working passionate team members to join our exciting journey.

We are looking to expand our current team and need experienced individuals who can bring energy and enthusiasm into our ongoing and upcoming projects in this space. You will be given significant training and development opportunities whilst working on projects for global household names.

You must have strong English speaking skills to be successful in this role, If you do not meet the experience, please do not apply as this may impact any future applications at Kagool. A technical interview will be performed to assess competency and skills.

Job Description :

Experience : 5-7+ years

Primary Skills : Azure Data Engineer

Job Description and Responsibilities :

- Data Engineers are responsible for delivering high quality modern data solutions through collaboration with our team and our customers.

- Projects may range from short term client assessments through multiyear delivery engagements with large, blended teams.

Requirements (as much as possible, not all is mandatory) :

- Hands-on experience working at a high level in Architecture or Data Science or combination.

- Azure skills highly preferred, including provisioning, Configuring, and Developing solutions in ADL, ADF, ADW etc.

- In-depth understanding of database structure principles

- Hands-on experience using MS SQL Server, Oracle or similar RDBMS platform.

- Distributed Data Processing of big data batch or streaming pipelines.

- Construction of data science and machine learning research and production pipelines.

- Familiarity with data visualization tools (i.e.PowerBI, Tableau etc.)

- Data Modeling & strong analytics skills in Analytics.

- Problem-solving attitude

- Highly self- motivated, self- directed, and attentive to detail

- Ability to effectively prioritize and execute tasks.

- Attitude and aptitude are of high importance, we are a very collaborative group.

Additional Information :

We would like to see a blend of the following skills, not all of these are required, however Databricks and Spark are highly desirable :

- Azure SQL Data Warehouse

- Azure Data Factory

- Azure Data Lake

- Azure Analysis Services

- Databricks/Spark

- Python or Scala (Python preferred)

- Data Modeling

- Power BI

- Database migration from legacy systems to new solutions

- Design conceptual, logical and physical data models using tools like ER Studio, Erwin

- Experience with SAP will be highly desirable