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Data Engineer
1 month ago
There is an opportunity for Azure Data Engineer(Databricks, Pyspark, Python, SQL)IN Hyderabad
for which WALKIN interview is there on 26th Apr 25 between 9:30 AM TO 12:30 PM
PLS SHARE below details to with subject line as Azure Data Engineer 26th Apr 25
if you are interested
Email id:
Contact no:
Total EXP:
Preferred Location:
CURRENT CTC:
EXPECTED CTC:
NOTICE PERIOD:
CURRENT ORGANIZATION: HIGHEST QUALIFICATION THAT IS FULL TIME :
HIGHEST QUALIFICATION UNIVERSITY:
ANY GAP IN EDUCATION OR EMPLOYMENT:
IF YES HOW MANY YEARS AND REASON FOR GAP:
ARE U AVAILABLE FOR WALKIN INTERVIEW ON 26TH Apr 25(YES/NO):
We will share a mail to you by tom Night if you are shortlisted.
Role
Azure Data Engineer
Desired Competencies (Technical/Behavioral Competency)
Must-Have
- Minimum 4+ years of development experience in Azure.
- Must have "Data Warehouse / Data Lake" development experience.
- Must have "Azure Data Factory (ADF) & Azure SQL DB"
- Must have "Azure Data Bricks" experience using Python or Spark or Scala.
- Nice to have "Data Modelling" & "Azure Synapse" experience.
- Passion for Data Quality with an ability to integrate these capabilities into the deliverables.
- Prior use of Big Data components and the ability to rationalize and align their fit for a business case.
- Experience in working with different data sources - flat files, XML, JSON, Avro files and databases
- Experience in developing implementation plans and schedules and preparing documentation for the jobs according to the business requirements.
- Proven experience and ability to work with people across the organization and skilled at managing cross-functional relationships and communicating with leadership across multiple organizations
- Proven capabilities for strong written and oral communication skill with the ability to synthesize, simplify and explain complex problems to different audiences.
Good-to-Have
- Nice to have Azure Data Engineer Certifications
Roles & Responsibilities
- Ability to integrate into a project team environment and contribute to project planning activities.
- Lead ambiguous and complex situations to clear measurable plans.