Data Analytics & Visualization Stream Engineer - DAX Power BI

About the job MMJS DataPhi is open for talented professionals to join our team. As seasoned consultants, we're cognizant of having an environment that gives employees a good balance between work and lifestyle. DataPhi has a highly accomplished team of seasoned data analytics and business intelligence professionals. DataPhi is now seeking highly motivated data engineers with either MS Azure or AWS engineering background to join our Data analytics team. Primary Responsibilities : - Lead analytics & data engineering programs independently at client locations or from offshore location. (8-10 Yrs Experience). - Architect data warehousing and analytics solutions that solve problems which cut across multiple business functions. (8-10 Yrs Experience). - Interact with business champions, gathering requirements and delivering complete Data Engineering, Data Warehousing, and Analytics solutions. (8-10 Yrs Experience). - Interface with other technology domains to extract, transform, and load data from a wide variety of data sources. - Help customers with next generation user experience using Power BI advanced visuals, especially with CxOs & senior management. - Worked extensively across different industry domain specially Retail, FMCG, Manufacturing, Finance, Oil & Gas, etc. - Worked extensively across functional domains like Sales, Procurement, Cost Control, Business Development, Management Reporting, Finance, etc. - Lead customers into advanced analytics journey - Data science & ML initiatives. - Guide them in choosing appropriate use cases. Job Requirements : - Minimum 3-8 years of end-to-end Data Engineering Development experience - Total professional experience does not matter much. - This is mainly for 3-10 years experienced profiles. - Worked extensively across different industry domain specially Retail, FMCG, Manufacturing, Finance, Oil & Gas, etc. - Worked extensively across functional domains like Sales, Procurement, Cost Control, Business Development, Management Reporting, Finance, etc. - Minimum 3-8 years of end-to-end Analytics project implementations experience - Minimum 1-3 years of hands-on experience with Azure ecosystem Power BI / AWS ecosystem Power BI. - Experience in working with different source/target systems like Oracle Database, SQL Server Database, Blob Storage, Azure Data Lake Storage, ERP, CRM, SCM systems. - Ability to read data from sources using APIs/Web Services. - Having worked with API to write data to target systems. - Working experience on performing transformation on data required during an ETL process. - Experience with Data Cleanup, Data Cleansing, and optimization related exercises. - Experience working with non-structured data sets in Azure will be an added advantage. - Experience with connecting to files, databases, and other sources to get data in Power BI. - Modelling of tables and sound knowledge of DAX to create measures, calculated tables etc. - Sound knowledge of Data Warehousing and modelling concepts. - Experience in creating custom Time Intelligence measures, Dimensional Hierarchies and other measures using DAX. - Experience in creating business friendly and visually appealing dashboards by improvising on features provided by Power BI. - Experience in using Power Query for making any changes while reading data. - Must have - SQL query expertise. - MS Power BI - Primary skill. MS Azure Analysis Services - Primary skill. Good to have minimum 1-3 years of end-to-end Data Engineering Development experience -Total professional experience does not matter much. - Good to have 2-8 years of experience in working on data engineering/ETL tools like Azure Data Factory (ADF) or SSIS or AWS Glue. - Good to have 2-8 yrs hands-on experience in following areas: - MS Azure Data Factory, Python Coding - Azure Function Apps, Azure Databricks - Min 3 Full Cycle Data Engineering Implementations (if more than 8 years of experience) - Exposure to MS Fabric and its components is added advantage. Additional desirable skills : - Exposure to data analytics, statistical model development will be added advantage. - Exposure to data science & ML - Azure ML /AWS Sagemaker - As added advantage. - Excellent written and verbal communication skills. Qualifications : - M.Tech/B./B.Tech (Computer Science, Information systems, IT) / MCA / MCS (ref:hirist.tech)

Location: pune, IN

Posted Date: 5/1/2025