Python Developer Job Vacancies in Jamshedpur

As a Senior Data Engineer, you will be at the forefront of our data transformation, specifically architecting and building the next generation of our Financial Transaction Processing engine within Microsoft Fabric. You will lead the migration of legacy financial pipelines into a unified Lakehouse architecture, ensuring that every pence of revenue and every byte of roaming data is accounted for with 100% accuracy.This role requires a blend of high-level architectural design, hands-on pipeline engineering, and a deep understanding of telecom financial domains (billing, reconciliation, and inter-carrier settlements).Key ResponsibilitiesArchitectural Design: Lead the design and implementation of a Medallion Architecture (Bronze, Silver, Gold) within MS Fabric to handle high-velocity telecom transactions.Data Pipeline Engineering: Develop end-to-end ETL/ELT workflows using Fabric Data Factory, Spark Notebooks (PySpark), and Dataflows Gen2.Financial Migration: Lead the migration of legacy SQL-based financial workloads into Fabric Lakehouses and Warehouses, ensuring zero data loss and maintaining historical integrity.Configuration & Governance: Configure Fabric workspaces, capacities, and OneLake security. Implement rigorous data governance and Row-Level Security (RLS) to protect sensitive financial PII.Performance Optimization: Tune large-scale Spark jobs and SQL queries to process millions of Call Detail Records (CDRs) and financial events with minimal latency.Analytics & Reporting: Build high-performance Semantic Models and Direct Lake datasets for real-time financial reporting and margin analysis.Mandatory Skills & QualificationsTechnical ExpertiseMicrosoft Fabric: Expert-level knowledge of the Fabric ecosystem (Lakehouse, Eventhouse, Data Factory, and OneLake).Pipeline Development: Strong experience with Azure Data Factory or Fabric Pipelines, including complex orchestration and incremental loading patterns.Coding & Transformation: Advanced proficiency in PySpark/Python and T-SQL for complex financial logic (e.g., multi-currency conversion, tax calculations).Architecture: Deep understanding of Delta Lake, Star Schema modeling, and SaaS-based data platform design.DevOps: Hands-on experience with Git integration, CI/CD for Fabric items, and Azure DevOps deployment pipelines.Domain KnowledgeTelecom Finance: Familiarity with telecom-specific data such as CDRs, roaming settlements, prepaid/postpaid billing cycles, and Churn analytics.Financial Accuracy: Experience building automated reconciliation frameworks to catch revenue leakage or transaction mismatches.Required Experience8+ years in Data Engineering3+ years hands-on with Microsoft FabricProven experience delivering large-scale data migration programmes in UK telecom or retailStrong SQL & PySpark expertiseExperience with financial data reconciliation and ledger alignmentStrong stakeholder engagement across Finance, Billing, and Technology teamsExperience operating within UK enterprise governance frameworksPreferred ExperienceCertifications: DP-600 (Microsoft Fabric Analytics Engineer) or DP-203 (Azure Data Engineer).Legacy Knowledge: Experience migrating from on-prem SQL Server or older Azure Synapse environments.Real-Time Intelligence: Knowledge of KQL (Kusto) for monitoring real-time transaction streams.Skills to be evaluated onMicrosoft FabricAzure-Data-FactoryFabric-AnalyticsDatabricksMandatory Skills : Microsoft Fabric

We are looking for a competitive and trustworthy software development intern executive to help us build up our software development activities.Selected intern's day-to-day responsibilities include1. Work with team to develop software products/website/mobile apps, etc.2. Work with ReactJS, ReactNative, Django, Django REST framework3. Develop HTML, CSS, JavaScript codes to be used by senior team members4. Develop front-end technologies, for best end user experience5. Work with MySQL, DB design, T-SQL query language6. Support internal and external testing as well as resolve bugs in a timely manner7. Develop and perform quality assurance checkpoints, handles enhancement products for existing clients8. Work on engineering tools like JIRA, Confluence, GitLab

Role: Python DeveloperIndustry Type: IT Services & ConsultingFunctional Area: Engineering- Software & QARole Category: Python DeveloperExperience: 1 to 3 yearsJob Location: JamshedpurEducation: UG: BCA/B.SC(IT)/B.TECH/B.E/M.SC(IT)PG: MCA/M.TECH/M.SC(IT)

We are looking for 23 Data Analyst / Data Science / IT Industry is Hiring Fresher Posts in Nashik, Maharashtra,Madurai, Tamil Nadu,Thiruvananthapuram, Kerala,Bhopal, Madhya Pradesh,Jodhpur, Rajasthan,Jamshedpur, Jharkhand,Rajkot, Gujarat,Bhubaneswar, Odisha,Udaipur, Rajasthan,Ludhiana, Punjab,Data Analyst,Data Specialist,Python Developer,Microsoft Excel, with deep knowledge in Data Analyst,Data Specialist,Python Developer,Microsoft Excel and Required Educational Qualification is : Higher Secondary, Secondary School, Diploma, Professional Degree, Other Bachelor Degree, B.A, B.C.A, B.Com Designing and maintaining data systems and databases; this includes fixing coding errors and other data-related problems.Mining data from primary and secondary sources, then reorganizing said data in a format that can be easily read by either human or machine.Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.Demonstrating the significance of their work in the context of local, national, and global trends that impact both their organization and industry.Preparing reports for executive leadership that effectively communicate trends, patterns, and predictions using relevant data.Collaborating with programmers, engineers, and organizational leaders to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance.Creating appropriate documentation that allows stakeholders to understand the steps of the data analysis process and duplicate or replicate the analysis if necessary...