Assistant Manager
Posted Updated
Referral available at EXL
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Azure Data Engineer
Location: Gurgaon
Exp: 5+ Years
Key Responsibilities
- Design, develop, and maintain data pipelines and ETL processes using Databricks, ADF, and Azure SQL.
- Implement data orchestration, automation, and cost optimization strategies on Azure.
- Develop and integrate REST APIs for data exchange and system interoperability.
- Ensure data quality, security, and user access management across platforms.
- Collaborate with cross-functional teams to deliver data solutions supporting analytics and business intelligence.
- Apply version control and code modularization best practices using GitHub and CI/CD pipelines.
- Monitor and optimize cloud infrastructure for performance and cost efficiency.
- Prepare technical documentation and deliver presentations using Excel, PowerPoint, and Word.
- Bachelor's degree with 5 to 6 years of experience.
Required Skills : Languages: SQL (Advanced), Python (Advanced), REST API (Intermediate), Cloud Infrastructure: Azure (Intermediate), Tools: Databricks, ADLS, Azure SQL, ADF, GitHub, Visual Studio Code, SSMS, Concepts: CI/CD, Orchestration, Automation, Code Modularization, Versioning, Data Management, Data Engineering, Cost Management, ETL, User Access Management
Good to Have: Data Analytics, AI/ML, Tableau, Power BI, PySpark
- Design, develop, and maintain data pipelines and ETL processes using Databricks, ADF, and Azure SQL.
- Implement data orchestration, automation, and cost optimization strategies on Azure.
- Develop and integrate REST APIs for data exchange and system interoperability.
- Ensure data quality, security, and user access management across platforms.
- Collaborate with cross-functional teams to deliver data solutions supporting analytics and business intelligence.
- Apply version control and code modularization best practices using GitHub and CI/CD pipelines.
- Monitor and optimize cloud infrastructure for performance and cost efficiency.
- Prepare technical documentation and deliver presentations using Excel, PowerPoint, and Word.
- Bachelor's degree with 5 to 6 years of experience.
Graduate in Computer Science, or related field. 5-6 years of experience in data engineering or related field.