Senior Azure Data Engineer
4 weeks ago
Position: Sr.Azure Data Engineer
Qualification: Bachelor of Engineer / Computer Science/ MCA / MS Comp Si + Overall 15-20 years experience with 5+ years experience in developing AI solutions.
Willing to work with Start up Senior 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 much as possible, not all is mandatory):
- Hands-on experience working at a high level in Architecture or Data Science or combination and Data modelling for the requirement.
- 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 (e.g., Power BI, Tableau etc.)
- Data Modelling & strong analytics skills in Analytics.
- Problem-solving attitude Document
- Highly self motivated, self directed, and attentive to detail
- Ability to effectively prioritize and execute tasks.
- Attitude and aptitude are of high importance
Additional Technical Skills:
- 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
Additional Skills:
- Passion for the business of hospital transformation
- Excellent written and verbal communication.
- Good team player.
Desired Skills and Experience:
Data Science, Data Modeling, Python (Programming Language), Microsoft SQL Server, ADL, RDBMS, Azure Databricks, SPARK
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