Assistant Manager - Azure Data Engineer
Gurugram, Haryana, India · À temps plein
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- Expérience
- 5–6 yrs
- Salaire
- —
- Ouvertures
- 1
- Publié
- il y a 3 heures
- Mode de travail
- Au bureau
- Éducation
- licence
- CV
- Candidature requise
Votre lieu de travail
Description de l'emploi
Role Overview
We are seeking an experienced Azure Data Engineer to join our team in Gurugram. The ideal candidate will have over 5 years of experience and hold a bachelor's degree, bringing strong expertise in designing, developing, and maintaining robust data pipelines and ETL workflows within Azure environments.
Key Responsibilities
- Design, build, and maintain efficient data pipelines and ETL processes leveraging Databricks, Azure Data Factory, and Azure SQL Database.
- Implement data orchestration and automation solutions to streamline workflows and optimize operational costs on Azure cloud infrastructure.
- Develop and integrate RESTful APIs to facilitate seamless data exchange and interoperability between systems.
- Ensure high data quality, robust security measures, and proper user access controls across platforms.
- Collaborate effectively with diverse teams to deliver scalable data solutions that support analytics and business intelligence needs.
- Apply best practices in version control and code modularization using GitHub and implement continuous integration and continuous deployment (CI/CD) pipelines.
- Monitor cloud infrastructure to improve performance and manage cost efficiency proactively.
- Create detailed technical documentation and deliver professional presentations utilizing Microsoft Excel, PowerPoint, and Word.
Required Qualifications
- Bachelor’s degree in a relevant field with 5 to 6 years of professional experience.
- Advanced proficiency in SQL and Python programming languages.
- Intermediate experience with REST API development and Azure cloud services.
- Hands-on experience with tools and technologies including Databricks, Azure Data Lake Storage (ADLS), Azure SQL, Azure Data Factory (ADF), GitHub, Visual Studio Code, and SQL Server Management Studio (SSMS).
- Strong understanding of CI/CD processes, orchestration, automation, code modularization, version control, data management, data engineering concepts, cost management, ETL frameworks, and user access management.
Preferred Skills
- Knowledge of data analytics, artificial intelligence and machine learning (AI/ML) concepts.
- Experience with visualization tools such as Tableau and Power BI.
- Familiarity with PySpark and big data processing frameworks.