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Senior Developer - SAP S4HANA, Java, SAP PLM

India

Job Description

Senior Developer - SAP S4HANA, Java, SAP PLM

Bangalore, Karnataka

Job Summary

Mandatory Skills

SAP Datasphere and SAP Analytics Cloud

Skill to Evaluate

SAP Datasphere and SAP Analytics Cloud

Experience

4 to 6 Years

Location

Bengaluru

Job Description

Technical

· Proven experience building data pipelines and models in SAP Datasphere (or SAP Data Warehouse Cloud / BW modeling).

· Hands-on dashboard development in SAP Analytics Cloud (SAC) - models, stories, and connections.

· Strong SQL for data extraction, transformation, and analysis.

· Proficiency in Python for data wrangling, EDA, and modeling (e.g. pandas, NumPy, scikit-learn, statsmodels).

· Experience using Python to pull and integrate data from diverse systems and APIs - e.g. relational databases (MySQL, PostgreSQL), REST APIs, and third-party sources (e.g. YouTube API) - into analytics workflows.

· Solid understanding of SAP data structures and storage nuances - key tables, master vs. transactional data, document flow, ledgers, and how SAP financial/commercial data is organized (e.g. FI/CO, SD, MM).

· Experience with data cleaning and building trustworthy, analytics-ready datasets.

Domain

· Working knowledge of Finance, Accounting, and Commercial concepts (e.g. P&L;, balance sheet, cost centers, profit centers, GL, revenue, margin, pricing, AR/AP).

· Ability to connect data work to real financial and commercial outcomes.

Analytical & Modeling

· Demonstrated experience with forecasting and/or anomaly detection on business data.

· Comfort with the full analytics lifecycle: EDA → RCA → insight → recommendation.

Soft skills

· Strong communication skills; able to explain technical findings to Finance and business leaders.

· Self-starter who can own problems end to end with limited supervision.

Preferred / Nice-to-Have

· Experience with S/4HANA and/or BW/4HANA data models.

· Familiarity with SAP CDS views, HANA Calculation Views, or ABAP for data sourcing.

· Exposure to Git/version control, CI for analytics, or orchestration tools.

· Experience with cloud data platforms (e.g. BigQuery, Snowflake, Databricks) and integration into the SAP landscape.

· Knowledge of ML Ops or model deployment for production forecasting/anomaly workflows.

· Relevant degree in Finance, Accounting, Data Science, Computer Science, Statistics, Engineering, or equivalent experience.

Key Responsibilities

Proven experience building data pipelines and models in SAP Datasphere (or SAP Data Warehouse Cloud / BW modeling).

· Hands-on dashboard development in SAP Analytics Cloud (SAC) - models, stories, and connections.

· Strong SQL for data extraction, transformation, and analysis.





· Proficiency in Python for data wrangling, EDA, and modeling (e.g. pandas, NumPy, scikit-learn, statsmodels).

· Experience using Python to pull and integrate data from diverse systems and APIs - e.g. relational databases (MySQL, PostgreSQL), REST APIs, and third-party sources (e.g. YouTube API) - into analytics workflows.

· Solid understanding of SAP data structures and storage nuances - key tables, master vs. transactional data, document flow, ledgers, and how SAP financial/commercial data is organized (e.g. FI/CO, SD, MM).

· Experience with data cleaning and building trustworthy, analytics-ready datasets.

Skill Requirements

Technical

· Proven experience building data pipelines and models in SAP Datasphere (or SAP Data Warehouse Cloud / BW modeling).

· Hands-on dashboard development in SAP Analytics Cloud (SAC) - models, stories, and connections.

· Solid SQL for data extraction, transformation, and analysis.

· Proficiency in Python for data wrangling, EDA, and modeling (e.g. pandas, NumPy, scikit-learn, statsmodels).

· Experience using Python to pull and integrate data from diverse systems and APIs - e.g. relational databases (MySQL, PostgreSQL), REST APIs, and third-party sources (e.g. YouTube API) - into analytics workflows.

· Solid understanding of SAP data structures and storage nuances - key tables, master vs. transactional data, document flow, ledgers, and how SAP financial/commercial data is organized (e.g. FI/CO, SD, MM).

· Experience with data cleaning and building trustworthy, analytics-ready datasets.

Domain

· Working knowledge of Finance, Accounting, and Commercial concepts (e.g. P&L;, balance sheet, cost centers, profit centers, GL, revenue, margin, pricing, AR/AP).

· Ability to connect data work to real financial and commercial outcomes.

Analytical & Modeling

· Demonstrated experience with forecasting and/or anomaly detection on business data.

· Comfort with the full analytics lifecycle: EDA → RCA → insight → recommendation.

Soft skills

· Strong communication skills; able to explain technical findings to Finance and business leaders.

· Self-starter who can own problems end to end with limited supervision.

Other Requirements

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Information at a Glance

Why HCLTech?

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG,



and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion.

Copyright © 2026 HCL Technologies Limited

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📌 Senior Developer - SAPHANA, Java, SAP PLM (Bengaluru)
🏢 HCLTech
📍 Bengaluru