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Tier-1 brand, junior generalist data role in metros with broad Azure/Databricks/PySpark requirements.
Core Azure/Databricks data skills transfer across industries, though audit/ERP focus increases domain specificity.
Requires premium-institute graduates and specific Azure/Databricks/PySpark technical skills, making filters stringent.
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Develop and support ETL data pipelines and Data Engineering services on Azure platform primarily using Azure Data Factory, Databricks, and Python/PySpark notebooks under senior supervision.
Integrate data from ERP systems like SAP, Oracle, and Microsoft Dynamics into Azure-based workflows and assist Audit engagement teams in data extraction and issue resolution.
Support Audit teams with Financial Data & Analytics and contribute to development and maintenance of engagement-related routines and practices within the chosen technologies.
Educational Qualification: BE/B.Tech/MCA from premium institutes like IITs, NMIMS or equivalent dual degrees (B.Tech + MBA).
Work Experience: 0-3 years (entry-level to junior data engineer role).
Mandatory Technical Skills: Experience or good working knowledge in Azure, Databricks, PySpark, SQL Server, Power BI, MS BI (SSIS, SSAS), and programming in Python or equivalent.
Mandatory Functional Skills: Understanding of database architecture, RDBMS concepts, ability to work with visualization tools (Power BI), and preferred experience with Gen AI technologies.
Junior-level professional with foundational skills in data engineering and cloud platforms, preferably Azure, aiming to grow in Data & Analytics Audit/Financial domain projects.
Candidate comfortable working under guidance while coordinating with client IT teams and supporting medium complexity client data requirements.
Strong technical inclination towards ETL, data integration from ERP systems, and supporting audit processes related to sub-ledger and transaction testing modules.