|
Search Jobvertise Jobs
|
Jobvertise
|
Azure Data Factory, Databricks Location: IN-Multi-City, India Email this job to a friend
Report this Job
Job Description: - High proficient w/ Azure data technologies including Azure Data Factory, Databricks, Azure Synapse Analytics*
- Strong proficiency in SQL and complex queries
- Deep experience in Data Analysis, including source data analysis, data profiling and mapping
- Good experience in building data pipelines using ADF/Azure Databricks, Synapse, PySpark, Scala
- Proven hands-on experience with a large-scale data warehouse
- Hands-on data migration experience from legacy systems to new solutions, such as from on-premises clusters to Cloud
- Ability to learn and adapt to new data technologies
- Knowledge on US healthcare industry/Pharmacy data is an added advantage
- Good problem-solving skills and Good communication skills
- Work with other Azure stack modules like Azure Data Lakes, SQL DW, etc.
- Having knowledge on pyspark and python using Azure notebook
- Expert level knowledge on Azure Data Factory/Azure Data Bricks
- Knowledge of other Azure Services like Analysis Service, SQL Databases will be an added advantage"
---------- If you are interested, please share your updated resume along with the following details for the next steps: ---------- Questions: # Your full name ( First : Middle : Last ) ( All expanded ) : # Present Employer Name , Work Location & DOJ : # Present / Last Designation : # Permanent / Contract Employee : # Highest Qualification (College , University Name and Passing year): # Total IT experience: # Experience in Azure Data Factory (in years) # Relevant experience in Azure (in years) # Relevant experience in Data Bricks (in years) # Relevant experience in SQL (in years) (in years # Relevant experience in pyspark (in years) # Current CTC and take home: # Expected CTC and take home: # Official Notice Period: # Are you serving notice period if yes then mention LWD: # Any offer you are holding (if yes please share the offer amount): # Date of Birth (DOB) (DD:MM:YYYY): Regards, Ashok Best Infosystems Ltd Email id: (e-mail removed) Phone number: hidden_mobile LinkedIn Link: (link removed)/in/ashoksachan Employement Category:Employement Type: Full time Industry: IT Services & Consulting Role Category: Application Programming / Maintenance Functional Area: Not Applicable Role/Responsibilies: Azure Data Factory, Databricks
Best infosystems
|