Data Engineer

Job Description

Hi {fullName} There is an opportunity for Azure Data Engineer(Databricks, Pyspark, Python, SQL)IN Hyderabad for which WALKIN interview is there on 24th May 25 between 9:30 AM TO 12:30 PM PLS SHARE below details to mamidi.p@tcs.com with subject line as Azure Data Engineer 24th May 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 24TH MAY 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. Show more Show less