Posted:1 day ago|
Platform:
Work from Office
Full Time
The Data Engineering manager needs to be we'll versed with Microsoft Business Intelligence stack having strong skills and experience in development and implementation of BI and advanced analytics solutions as per business requirements. Strong hands-on experience in Microsoft ADF pipelines, databricks notebooks, Pyspark. Adept in design and development of data flows using ADF. Expertise in implementing complex ETL logics through databricks notebooks Experience in implementing CI-CD pipelines through azure devops Experience in writing complexT- SQLs Understand the business requirements and develop data models accordingl Have knowledge and experience in prototyping, designing, and requirement analysis. Excellent knowledge in data usage, Scheduling, Data Refresh and diagnostics Experience in tools such as Microsoft Azure, SQL data warehouse, Visual Studio, etc Worked in an agile (scrum) environment with globally distributed teams Analytical bent of mind Business acumen and articulation skills; ability to capture business needs and translate into a solution Ability to manage interaction with business stakeholders and others within the organization Good communication and documentation skills Proven experience in interfacing with different source systems Proven experience in data modelling Minimum required Education: BE Computer Science / MCA / MSC IT Minimum required Experience: Minimum 2 years of experience in Data Engineering or equivalent with Bachelors Degree. Preferred Certification: Azure ADF/Databricks/T-SQL Preferred Skills: Azure ADF/Databricks PySpark / T-SQL Data Governance Data Harmonization & Processing Data Quality Assurance Business Intelligence Tools Requirements Analysis Root Cause Analysis (RCA) Requirements Gathering
Philips
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