Azure Data Engineer
Location: Chennai, Tamil Nadu
Full-time : Entry level
Experience: 5+ years
Skill: Azure
Qualifications
5+ years’ overall experience in data domain (data analysis, database developer, data integration)
Minimum 3 Years’ Experience As a Cloud-based Data Engineer
Minimum 3 years’ experience and strong knowledge of Azure Data Services such as Azure Service Bus, Azure Data Lake Storage, Blob Storage, Azure Data Factory, Azure SQL Server
Minimum 1 years’ experience in delivering and supporting data for BI tools such as Power BI, Tableau etc. is an added advantage
Good understanding of data integration and warehousing (ETL, ELT) processes
Strong knowledge of Database concepts, hands-on SQL experience in working with Database clients like, TOAD, SQL developer, SQL Server Management Studio
Good knowledge of NoSQL/ Document DB.
Hands-on development experience of Data Mart and Enterprise Data Warehouse
Proficient in analyzing business requirements and mapping them to technical requirements
Data Analysis and Interpretation, and Data Issue Debugging Skills
Good knowledge of DevOps tools and processes as it applies to Data Engineering
Responsibilities
Full-time : Entry level
Experience: 5+ years
Skill: Azure
Qualifications
5+ years’ overall experience in data domain (data analysis, database developer, data integration)
Minimum 3 Years’ Experience As a Cloud-based Data Engineer
Minimum 3 years’ experience and strong knowledge of Azure Data Services such as Azure Service Bus, Azure Data Lake Storage, Blob Storage, Azure Data Factory, Azure SQL Server
Minimum 1 years’ experience in delivering and supporting data for BI tools such as Power BI, Tableau etc. is an added advantage
Good understanding of data integration and warehousing (ETL, ELT) processes
Strong knowledge of Database concepts, hands-on SQL experience in working with Database clients like, TOAD, SQL developer, SQL Server Management Studio
Good knowledge of NoSQL/ Document DB.
Hands-on development experience of Data Mart and Enterprise Data Warehouse
Proficient in analyzing business requirements and mapping them to technical requirements
Data Analysis and Interpretation, and Data Issue Debugging Skills
Good knowledge of DevOps tools and processes as it applies to Data Engineering
Responsibilities
- Develops, tests, manages, and implements Integration packages and Data repository
- Create documentation for Integration packages created, data lineage, etc.
- Must be able to create, maintain and optimize your own code as well as code written by others.
- Writing and tuning complex SQL queries, views, indexes, and functions.
- Assist in the troubleshooting of production issues.
- Solves complex issues in innovative ways.
- Should be 100% availability on Zoom Video for focused one-on-one meetings.
- Strong communications skills – oral and written
- Self-starter with a strong work ethic
- Flexible and resilient, handle various demands planned and unplanned
- Proven ability to handle multiple tasks and projects simultaneously.
- Problem solver and desire to close issues, pragmatic and realistic with solutions
- Ability to work independently under minimal supervision and meet deadlines.
- Strong sense of accountability, adaptability, flexibility, and a sense of urgency.
- Demonstrated ability to establish priorities, organize and plan work to satisfy established timeframes.
- Passionate about continuously improving organizational practices.
- Ability to learn and apply new technologies quickly and self-directed.
- Ability to prioritize and multi-task across numerous work streams.