Data Engineer SAP Datasphere & ETL Developer (Offshore)

Job Overview

Job Description

Position Name
*Data Engineer SAP Datasphere & ETL Developer (Offshore)*

*Remote*
Years of Experience - 6+
Contract Duration - 6 Month minimum

Job Description
Data Engineer SAP Datasphere & ETL Developer (Offshore) role.
*Rate: 1.5 LPM*

Key Responsibilities • Design and implement end-to-end integration of employee master data from SAP SuccessFactors Employee Central (including pilots, cabin crew, engineers, ground staff, and expatriate workforce) into SAP Data Sphere. • Build semantic layers, business entities, data flows, and analytical models in SAP Data Sphere to enable accurate workforce analytics and planning. • Develop and maintain SAC Planning models for headcount planning, crew rostering support, attrition forecasting, skills & licensing management, seasonal demand planning, and cost center budgeting. • Configure live and import connections between SuccessFactors, Data Sphere, and SAC while ensuring high performance and data security. • Incorporate aviation-specific requirements such as flight crew licensing, medical certifications, flight hour limitations, base/transfer planning, and GCAA regulatory compliance reporting. • Collaborate with HR, Crew Planning, Finance, Operations, and senior leadership to translate airline business requirements into effective planning solutions. • Design interactive SAC dashboards, stories, input forms, and allocation processes for workforce demand-supply balancing, scenario modeling (e.g., fleet expansion, peak season), and what-if analysis. • Ensure data quality, harmonization, and governance for a large, diverse, and multi-national workforce. • Support user training, change management, and adoption across operational and planning teams in the UAE. • Perform performance optimization, troubleshooting, and ongoing support of the solution. • Implement appropriate data security, role-based access, and compliance with UAE data residency and privacy regulations. We need at least one E2E implementation experience Technical Skills • Core Technologies: SAP Data Sphere, SAP Analytics Cloud (Planning & Analytics), SuccessFactors Employee Central. • Integration: SuccessFactors OData APIs, SAP Cloud Integration (CPI), Data Sphere federation. • Aviation Advantage: Experience with crew management systems, flight operations data, or workforce planning in Airlines / Aviation. • Others: SAC Predictive Forecasting, Advanced Formulas, Data Actions, Hierarchies, and currency/exchange rate handling (multi-currency for international crew). You can now view the job details and start submitting candidate profiles through the agency portal. *ML Engineer*

Years of Experience - 8 to 10 Years
Contract Duration - 6
*Budget - 1.5 LPM + GST*
*Location : Hyderabad*

Tech Stack -
Machine Learning, Model Training, Feature Engineering, Hyperparameter Tuning, Model Versioning, Python, Data Preprocessing, Predictive Analytics, Model Evaluation, Scikit-learn/TensorFlow/PyTorch

Position Name
ML Engineer

Description
onsite

Job Description
ML Engineer
Gachibowli, Hyderabad

Experience: 8+ Years
Key Responsibilities:
Develop and train machine learning models for logistics and predictive analytics use cases
Perform feature engineering to improve model performance and accuracy
Handle data preprocessing, cleansing, and formatting for structured and unstructured datasets
Tune hyperparameters to optimize model efficiency and outcomes
Implement model versioning and maintain reproducibility across environments
Evaluate models using appropriate metrics and continuously improve performance
Collaborate with data engineers and business teams to align solutions with requirements
Deploy models into production and monitor performance over time

Mandatory Skills:
Machine Learning, Model Training, Feature Engineering, Hyperparameter Tuning, Model
Versioning, Python, Data Preprocessing, Predictive Analytics, Model Evaluation,
Scikit-learn/TensorFlow/PyTorch

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