11+ Oracle General Ledger Jobs in Bangalore (Bengaluru) | Oracle General Ledger Job openings in Bangalore (Bengaluru)

Job Title : Oracle Financial Consultant

Experience Required: 5 to 10 years

Work Location : Fairway Business Park, Embassy Golf Links, Bengaluru

Work Mode : Hybrid (3 days in office)

Notice Period : Immediate to 15 days

Job Overview :

We are looking for a seasoned Oracle Financial Consultant with strong functional expertise in Oracle Fusion Financials (GL, AP, AR, Procurement) to support financial transformation initiatives tailored to the e-commerce and online retail space.

This role requires deep business process understanding and collaboration with various departments—not coding-focused.

Mandatory Skills :

Oracle Fusion Cloud (GL, AP, AR, Procurement), stakeholder requirement gathering, e-commerce financial process design, OMS/WMS/TMS functional understanding, excellent communication skills.

Key Responsibilities :

• Lead implementation and functional design of Oracle Fusion Financial modules (GL, AP, AR, Procurement).
• Gather business requirements directly from stakeholders and perform fit-gap analysis.
• Design and optimize finance processes for e-commerce, including order-to-cash, procure-to-pay, and refund workflows.
• Collaborate with cross-functional teams to integrate Oracle with OMS, WMS, and TMS systems.
• Drive process automation and transformation projects aligned with retail best practices.
• Conduct workshops, UATs, and training sessions for finance/business users.
• Ensure alignment with compliance, tax, and financial regulations in the retail space.
• Provide post-go-live support and user adoption assistance.

Required Skills & Qualifications :

• 5 to 10 years of functional experience in Oracle Financials Cloud (GL, AP, AR, Procurement).
• Hands-on experience in requirement gathering directly from business stakeholders.
• Strong understanding of e-commerce finance operations.
• Familiarity with OMS, WMS, TMS integrations (functional level).
• Proven ability to lead financial transformation and process automation projects.
• Knowledge of multi-entity and multi-currency financial environments.
• Excellent communication and stakeholder management skills.
• Oracle Financials Cloud certification is a plus.

Preferred Qualifications :

• Experience with automation tools for financial reconciliation in retail.
• Understanding of regulatory compliance and e-commerce taxation frameworks.
• Background in product-based companies is highly preferred.
• Stability in career and experience in high-volume transaction environments.

Interview Process :

1. Round 1 : 30-minute online interview
2. Round 2 : Face-to-face interview

About the Role

The Smart Operations (Smart Ops) division is seeking a seasoned Senior Data Engineer / Lead Data Engineer to design and scale our next-generation industrial data platform. In this role, you will architect the real-time data backbone that processes high-frequency iHistorian telemetry, IoT sensor feeds, and complex manufacturing data across global operations.

You will be the core technical owner of our Databricks Lakehouse ecosystem, responsible for building optimized, cost-efficient streaming and batch pipelines that deliver high-trust data to our Advanced Analytics, MLOps, and Business Intelligence teams.

Key Responsibilities

• End-to-End Lakehouse Architecture: Design, implement, and scale a robust Medallion Architecture (Bronze-Silver-Gold) on Azure Databricks and Delta Lake.
• Real-Time IoT Ingestion: Build fault-tolerant, low-latency streaming pipelines to ingest high-frequency telemetry and machine sensor data.
• Enterprise Governance: Enforce data security, fine-grained access controls, and comprehensive lineage tracking using Unity Catalog.
• Performance Tuning & Cost Optimization: Actively profile, tune, and optimize Spark workloads (utilizing partitioning, liquid clustering, AQE, and Photon) to drastically minimize cloud compute costs and pipeline runtimes.
• CI/CD Automation: Modernize data platform deployments across Dev/QA/Prod environments using Infrastructure as Code (IaC) and Databricks Asset Bundles (DABs).
• Cross-Functional Collaboration: Partner closely with manufacturing stakeholders, supply chain analysts, and data scientists to provide curated datasets for predictive maintenance, anomaly detection, and operational KPI reporting.

Technical Skills Breakdown

Mandatory Skills (Must-Haves)

• Domain Context: Minimum 5+ years of Data Engineering experience with direct exposure to Heavy Manufacturing, Automotive/Commercial Vehicles, Industrial Automation, or Global Logistics data environments.
• Databricks Ecosystem: Deep architectural mastery of Azure Databricks, PySpark, Spark SQL, Delta Lake, and Unity Catalog governance.
• Streaming & CDC: Proven hands-on experience engineering real-time data pipelines using Apache Kafka, Azure Event Hubs, or Spark Structured Streaming, alongside Change Data Capture (CDC) tools (e.g., Debezium).
• Cloud Infrastructure: Strong proficiency within the Microsoft Azure stack—specifically Azure Data Factory (ADF), Azure Data Lake Storage Gen2 (ADLS Cores), Azure Key Vault, and Azure Monitor.
• Advanced SQL & Python: Expert-level Python programming and complex SQL optimisation (advanced indexing, partition pruning, performance tuning of massive datasets).
• DevOps Automation: Hands-on experience setting up production CI/CD pipelines using Git, Azure DevOps, GitHub Actions, or Databricks Asset Bundles (DABs).

Good to Have Skills (Nice-to-Haves)

• Professional Certifications: Databricks Certified Data Engineer Professional (highly preferred), Databricks Certified Associate Developer for Apache Spark, or Microsoft Certified: Azure Data Engineer Associate (DP-203).
• Industrial & ERP Systems: Familiarity with industrial data systems (SCADA, PLC, iHistorian), heavy vehicle telemetry standards (MDF/MF4 files), or deep integration experience with enterprise ERPs (SAP S/4HANA, SAP BW).
• MLOps & GenAI: Exposure to working alongside Machine Learning pipelines, dataset feature engineering, or implementing Generative AI frameworks (RAG, Vector Databases like FAISS/Weaviate) for semantic query self-service.
• Infrastructure as Code (IaC): Basic proficiency with Terraform for provisioning cloud data infrastructure.

Education & Qualifications

• Bachelor’s or Master’s Degree in Computer Science, Information Technology, Electrical/Electronics Engineering, or a closely related technical field.

Designation: Android Developer (SDE – II)

Department: Software Engineering Team

Location: Bangalore

Qualification: B.Tech in Computer Science, Engineering or relevant field

Experience: 3+ years of relevant experience in Designing and building advanced applications for the Android platform (with Android SDK and Kotlin).

Responsibilities:

1. Design and build advanced applications for the Android platform
2. Collaborate with cross-functional teams to define, design, and ship new features
3. Work with outside data sources and APIs
4. Unit-test code for robustness, including edge cases, usability, and general reliability
5. Work on bug fixing and improving application performance
6. Continuously discover, evaluate, and implement new technologies to maximize development efficiency

Skills Required:

1. Experience in developing Android native projects
2. Experience with Android SDK and Kotlin
3. Experience working with remote data via REST and JSON
4. Experience with third-party libraries and APIs
5. Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies
6. Solid understanding of the full mobile development life cycle.
7. Good understanding of computer science fundamentals - data structures, algorithms, memory management, performance.
8. Enjoys coding and problem solving
9. Ability to showcase applications which has been built in past
10. Good communication skills.
11. Ability to express ideas clearly and concisely
12. Familiarity with code versioning tools (such as Git, SVN, and Mercurial)
13. Good problem-solving skills
14. Team spirit

Salary: Upto 12LPA (Negotiable)

IMMEDIATE JOINING PREFERRED!