- Translate functional specifications and change requests into technical specifications.
- Translate business requirement documents, functional specifications, and technical specifications into related coding.
- Develop efficient code with unit testing and code documentation.
- Ensure accuracy and integrity of data and applications through analysis, coding, documenting, testing, and problem-solving.
- Set up the development environment and configure development tools.
- Communicate project status with all project stakeholders.
- Manage, monitor, and ensure the security and privacy of data to satisfy business needs.
- Contribute to the automation of modules wherever required.
- Be proficient in written, verbal, and presentation communication (English).
- Coordinate with the UAT team.
- Proficiency in basic and advanced SQL programming concepts (Procedures, Analytical functions, etc.).
- Good knowledge and understanding of Data warehouse concepts (Dimensional Modeling, change data capture, slowly changing dimensions, etc.).
- Knowledgeable in Shell/PowerShell scripting.
- Knowledgeable in relational databases, non-relational databases, data streams, and file stores.
- Knowledgeable in performance tuning and optimization.
- Experience in Data Profiling and Data validation.
- Experience in requirements gathering and documentation processes and performing unit testing.
- Understanding and implementing QA and various testing processes in the project.
- Knowledge in any BI tools will be an added advantage.
- Sound aptitude, outstanding logical reasoning, and analytical skills.
- Willingness to learn and take initiatives.
- Ability to adapt to a fast-paced Agile environment.
- Demonstrated expertise as a Data Engineer, specializing in Azure cloud services.
- Highly skilled in Azure Data Factory, Azure Data Lake, Azure Databricks, and Azure Synapse Analytics.
- Create and execute efficient, scalable, and dependable data pipelines utilizing Azure Data Factory.
- Utilize Azure Databricks for data transformation and processing.
- Effectively oversee and enhance data storage solutions, emphasizing Azure Data Lake and other Azure storage services.
- Construct and uphold workflows for data orchestration and scheduling using Azure Data Factory or equivalent tools.
- Proficient in programming languages like Python, SQL, and conversant with pertinent scripting languages.
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Data Engineer - Chennai, India - ResourceTree Global Services
Description
Job Description :
ResourceTree Global Services is hiring Senior Data Engineer Role for one of its Data Analytics Client. Below are the details
Role : Senior Data Engineer - Azure
Primary Skills : ADF (Azure Data Factory), SQL
Experience : 4 - 6 Years
Location : Chennai
Role Responsibilities :