Description :
Shift Timing (Including time zone) : 2 PM 11 PM IST
Experience Range : 7+ years
Minimum Qualifications :
- 7+ years experience in a predictive and decision support analytics function
- 7+ years quantitative analysis experience
- 3+ years of advanced analytics development experience
- Strong foundation in statistics
- Bachelor's Degree in Computer Science, Computer Engineering, MIS, or related field
Must Have Skills :
General architectureFamiliar with large-scale analytical systemsUnderstanding of designing workflow / process-based systemsExperience solutioning Cloud based enterprise data architecturesInformation architectureData Modeling principles for relational and dimensional data structuresData Warehouse design principles (e.g. Kimball, Inmon)Data Lake design principlesCyclotron Internal 2Hybrid enterprise data architectureExpertise using various open source or dedicated analytics tools Matlab, R, Python, ScalaSQL Server core database engine (SQL, T-SQL code development)Microsoft AzureAzure Advanced AnalyticsAzure PaaSAzure Data ServicesAzure Data FactoryCosmos dbAzure Data LakeAzure DatabricksAzure Storage, Azure Data Explorer, etc., etc.Big Data technologies / Languages :Python, Spark, Scala, PySparkGood to Have Skills & Certifications :
Big Data technologies / Languages :Information architectureData Science application experienceGeneral DBMS experienceGeneral Reporting capabilitiesMicrosoft SQL Server technologiesKey Responsibilities :
Architect, develop, and deploy robust, scalable data solutions using Azure Synapse, Databricks, Fabric, Data Factory, and related tools.Design and optimize ETL / ELT data pipelines with Python, PySpark, and SQL for structured and unstructured data.Build modern data architectures : data lakes, warehouses, lakehouses, and streaming platforms.Implement and automate data ingestion, transformation, modeling, and validation within Azure and Databricks.Lead end-to-end Power BI or Fabric analytics solutions, including semantic modeling, DAX, and data visualization.Advice on data modernization, governance (Purview, Entra ID), and security best practices aligned with Microsoft frameworks.Partner with clients and project teams, translate business requirements into actionable architectures, and communicate technical plans to stakeholders.Mentor peers and guide teams on best practices, technical standards, and continuous learning in the Microsoft / Databricks ecosystem.Author high-quality project, design, and technical documentation as well as support pre-sales and business development activities as needed.(ref : hirist.tech)