Data Engineer - Python/SQL

Role : Senior Data Engineer - Azure Primary Skills : ADF (Azure Data Factory), SQL Experience : 4 - 6 Years Location : Chennai Role Responsibilities : - 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 Requirements : - 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 Requirements : - 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. (ref:hirist.tech)

Location: chennai, IN

Posted Date: 11/24/2024