Position:
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Data Engineer focused on Python based data engineering solutions
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Entry level role designed for early career professionals
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Hands on role involving real world data pipeline development
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Opportunity to work closely with analytics and engineering teams
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Exposure to enterprise grade data platforms and workflows
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Role centered on building scalable and reliable data systems
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Emphasis on learning through production level responsibilities
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Suitable for fresh graduates and early career data professionals
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Focus on backend data processing rather than front end analytics
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Position aligned with long term growth in data engineering
Company:
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Michael Page
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Global staffing and recruitment organization
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Operates across multiple continents and industries
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Known for professional services recruitment expertise
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Strong presence in technology and digital hiring
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Acts as a hiring partner for enterprise and mid sized firms
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Focuses on quality talent matching and long term placements
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Established reputation in structured hiring processes
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Works with clients across business services sectors
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Provides exposure to diverse client projects and environments
Location:
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Jaipur
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Rajasthan
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India
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On site role requiring physical presence
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Work location based in a growing technology hub
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City offering balanced professional and lifestyle environment
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Cost effective city for early career professionals
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Increasing demand for technology roles in the region
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Opportunity to work close to business stakeholders
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Local exposure with global work standards
Job type:
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Full time employment
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Permanent role
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Structured working hours
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Benefits included as part of employment
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Stability for early career planning
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Suitable for candidates seeking long term association
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Regular payroll based position
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Not a contract or freelance role
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Aligned with organizational growth plans
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Role includes statutory benefits
Job mode:
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On site
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Daily work from office environment
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Direct collaboration with internal teams
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Access to internal systems and infrastructure
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Face to face interaction with stakeholders
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Structured team based work culture
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Suitable for candidates preferring office setup
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Learning through in person mentorship
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Real time troubleshooting and discussions
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Fixed work location
Job requisition id:
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JN 122025 6904478
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Used for internal and application reference
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Helps track application status
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Required during communication with recruiter
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Relevant for follow up discussions
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Identifies specific hiring requirement
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Linked to this particular opportunity
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Unique identifier for the role
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Mentioned during application process
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Important for official correspondence
Years of experience:
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Freshers encouraged to apply
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Entry level candidates preferred (0-3 yoe)
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Suitable for candidates with up to three years exposure
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Open to recent graduates
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Learning oriented role for early career professionals
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No extensive industry background required
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Practical skills valued over long experience
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Opportunity to build foundational experience
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Ideal for first or second job seekers
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Growth oriented position
Company description:
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Michael Page operates as a global recruitment consultancy with decades of presence in professional hiring
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The organization focuses on connecting skilled professionals with companies across industries
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It has built a reputation for quality driven recruitment and long term talent partnerships
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The firm works closely with organizations in technology business services finance and engineering
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It supports clients by understanding workforce needs and delivering suitable talent solutions
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The company maintains a strong international network while operating with local market knowledge
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Its teams specialize by domain geography and seniority level
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This specialization allows deeper understanding of role expectations and industry needs
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Michael Page supports both candidates and employers throughout the hiring lifecycle
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The organization emphasizes ethical recruitment practices and sustainable growth
Profile overview:
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This role focuses on building and maintaining data engineering solutions using modern tools
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The position involves designing pipelines that support analytics and business reporting
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Candidates will work with structured and semi structured data sources
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The role requires collaboration with multiple teams to understand data needs
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Responsibilities include transforming raw data into usable formats
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The engineer ensures data availability reliability and consistency
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Documentation is an important aspect of the role for long term maintainability
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Monitoring pipelines and resolving issues is part of daily responsibilities
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The role supports decision making through reliable data infrastructure
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It offers exposure to enterprise scale data workflows and tools
Qualifications:
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Educational background in computer science information technology or similar field
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Strong understanding of programming concepts using Python
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Working knowledge of SQL for querying and managing databases
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Familiarity with PySpark for distributed data processing
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Awareness of Azure Data Factory concepts and workflows
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Understanding of data pipeline design principles
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Knowledge of data validation and quality checks
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Ability to understand business requirements and translate them into data solutions
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Willingness to learn new tools and frameworks
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Strong problem solving and logical thinking skills
Additional info:
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Employee benefits include provident fund and gratuity
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Medical coverage is part of the compensation package
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Competitive salary aligned with market standards
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Exposure to modern data engineering tools and platforms
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Supportive work culture encouraging collaboration
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Opportunity to work on real client driven data problems
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Learning through hands on project involvement
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Stable organization with structured processes
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Career growth opportunities within data and analytics roles
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Role based in a culturally rich and affordable city
Please click here to apply.

