Description
& Summary: A career within….Responsibilities:
Must have: •Candidates with minimum 3 years of relevant experience for 4-8 years of total experience.
•Deep expertise with technologies such as Data factory, Data Bricks (Advanced), SQLDB (writing complex Stored Procedures), Synapse, Python scripting (mandatory), Pyspark scripting, Azure Analysis Services.
•Must be certified with DP 203 (Azure Data Engineer Associate), Databricks Certified Data Engineer Professional (Architect / Managerial level) •Strong troubleshooting and debugging skills.
•Proven experience in working source control technologies (such as GITHUB, Azure DevOps), build and release pipelines.
•Experience in writing complex PySpark queries to perform data analysis.
Mandatory skill sets:
· Azure Databricks, Pyspark, Datafactory
Preferred skill sets:
· Azure Databricks, Pyspark, Datafactory, Python, Azure Devops
Years of experience required:
4-8yrs
Education qualification:
B.Tech / M.Tech / M.E / MCA/B.E
Education
Degrees/Field of Study required: Bachelor of Technology, MBA (Master of Business Administration)Degrees/Field of Study preferred:Certifications
Required Skills
Data Engineering, Microsoft AzureOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more}Desired Languages
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date