Title Azure Data Engineer Mobius Knowledge Services
Mobius Knowledge Services
Office Location
Full Time
Experience: 3 - 3 years required
Pay:
Salary Information not included
Type: Full Time
Location: Chennai
Skills: Azure, MySQL, Power Bi, SSIS, SSRS, TSQL, azure devops, Master data management, data warehousing, Database design, SQL Server, NoSQL, hive, Impala, Hdfs, azure data factory, TalendSISS, mssql, Azure SQL DB, Synapse Analytics, Logic Apps, azure data lake, Analysis Service, SQL databases, cicd, business intelligence architecture, data modelling, big data technologies, Spark framework, Azure Data Bricks, Haqoop Ecosystem
About Mobius Knowledge Services
Job Description
As an experienced professional with 3-5 years of experience, you will be responsible for working with a range of technical skills including Azure Data Factory, Talend/SSIS, MSSQL, Azure, and MySQL. Your primary focus will be on Azure Data Factory, where you will utilize your expertise to handle complex data analysis tasks effectively. In this role, you will demonstrate advanced knowledge in Azure SQL DB & Synapse Analytics, Power BI, SSIS, SSRS, T-SQL, and Logic Apps. It is essential that you possess a solid understanding of Azure Data Lake and Azure Services such as Analysis Service, SQL Databases, Azure DevOps, and CI/CD processes. Furthermore, your responsibilities will include mastering data management, data warehousing, and business intelligence architecture. You will be required to apply your experience in data modeling and database design, ensuring compliance with SQL Server best practices. Effective communication is key in this role, as you will engage with stakeholders at various levels. You will contribute to the preparation of design documents, unit test plans, and code review reports. Experience in an Agile environment, specifically with Scrum, Lean, or Kanban methodologies, will be advantageous. Additionally, familiarity with Big Data technologies such as the Spark Framework, NoSQL databases, Azure Data Bricks, and the Hadoop Ecosystem (Hive, Impala, HDFS) will be beneficial for this position.,