Human Resource Business Partner (Male) at Starmark Software · Bengaluru (Bangalore) · 2 - 5 years · ₹2L - ₹5L / yr · Profitable · Posted 24 Jun 2022

HRBP
- Advise managers on organizational policy matters and recommend needed changes.
- Analyze statistical data and reports to identify and determine causes of personnel problems and develop recommendations for improvement of the organization's HR policies and practices.
- Conduct exit interviews to identify reasons for employee separation.
- Maintain records and compile statistical reports concerning HR-related data such as hires, transfers, performance appraisals, and absenteeism rates.
- Administer disciplinary procedures.
- Plan and conduct new employee orientation and induction programs to foster a positive attitude toward organizational objectives.
- Plan, direct, supervise, and coordinate work activities of subordinates and employee relations.
- Provide current and prospective employees with information about policies, job duties, working conditions, wages, and opportunities for promotion and employee benefits.
- Serve as a link between management and employees by handling questions, interpreting and administering contracts and helping resolve work-related problems.
- Administer employee recognition awards.
- Plan, organize, direct and coordinate the training activities of the organization.
- Responsible for the successful implementation, monitoring and coordinating of all the activities regarding HR Software.
- Preparation and maintenance of MIS related to Attrition.
- Administer performance management systems and recreation programs.
Preferably Male Candidate
Night Shift
Location Whitefield

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Overview
We are seeking skilled Data Engineers to join our Data & Digital Twin Foundation team. You will design, build, and maintain data pipelines that power digital twin platforms, real-time operational systems, and AI/ML workloads. Working closely with data architects, simulation engineers, and ML teams, you will transform raw operational data into high-quality, governed datasets that drive intelligent decision-making.
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- Realtime Data Pipelines implemented using Kafka for data ingestion.
- Databricks SQL for analytical queries
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- Terradata for data warehouse and business intelligence.
Stream & Event Processing
- Apache Kafka for real-time event ingestion
- Structured Streaming for continuous data processing
- Delta Live Tables for declarative, quality-enforced pipelines
Data Quality
- Delta Live Tables expectations for data validation
- Data profiling and anomaly detection
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- Design, develop, and maintain scalable data pipelines using Databricks, PySpark, and Delta Lake
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- Implement data transformations that serve digital twin platforms and operational analytics
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- Optimize pipeline performance, reliability, and cost efficiency
- Write clean, well-documented, and testable code following engineering best practices
- Collaborate with ML engineers to deliver feature-engineered datasets
- Participate in code reviews, knowledge sharing, and continuous improvement initiatives
- Support production data systems through monitoring, troubleshooting, and incident resolution.
- Build business data warehouse solutions using Terradata for business intelligence.
Preferred Qualifications
- 7+ years of hands-on data engineering experience
- Track record of building and maintaining production-grade data pipelines
- Experience with Delta Live Tables for declarative pipeline development
- Experience working in agile, cross-functional teams
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Highly Desirable
- Experience building data pipelines for digital twin or simulation platforms
- Familiarity with operational state modeling for real-time systems
- Exposure to physics-informed or time-series ML feature engineering
- Experience working with distributed, multidisciplinary teams
- Exposure to industrial domains such as Manufacturing, Logistics, or Transportation is a plus
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- Build responsive and user-friendly front-end interfaces
- Develop RESTful APIs and microservices architecture
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● Engage in service capacity and demand planning, software performance analysis, tuning and optimization
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● A bachelor’s/master’s degree in Computer Science, with 2 to 6 years of Experience in building highly available and scalable products.
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● Have worked in building back-end systems around DBMS, Caches, NoSQL, Web and App servers.
● Passionate about algorithms, design patterns, open-source technologies and in general good software
design
● Desirable to have Prior experience in working on any of the Public cloud infrastructures
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