HyrHub

Core Responsibilities:

• Design & Development: Architect and implement scalable backend services and APIs using Python or Golang, ensuring high performance, resilience, and extensibility.
• System Ownership: Take end-to-end ownership of critical modules, from design and development to deployment and support.
• Technical Leadership: Conduct design and code reviews, enforce best practices, and mentor junior engineers to raise the team’s technical bar.
• Collaboration: Work closely with product managers, architects, and other engineers to translate business requirements into technical solutions.
• Performance & Reliability: Troubleshoot complex issues in production systems, identify root causes, and design sustainable long-term solutions.
• Innovation: Evaluate new technologies, contribute to proof-of-concepts, and recommend tools that can improve developer productivity.
• Process Improvement: Drive initiatives to improve coding standards, CI/CD pipelines, and automated testing practices.
• Knowledge Sharing: Document designs, create technical guides, and share insights with the broader engineering team.

Experience and Expertise:

• 4–7 years of backend development experience with Python or Golang.
• Strong expertise in designing, developing, and scaling microservices and distributed systems.
• Solid understanding of concurrency, multi-threading, and performance optimization.
• Proficiency with databases (SQL/NoSQL), caching systems (Redis, Memcached), and messaging systems (Kafka, RabbitMQ, etc.).
• Hands-on experience with Linux development, Docker, and Kubernetes.
• Familiarity with cloud platforms (AWS/GCP/Azure) and related services.
• Strong debugging, profiling, and optimization skills for production-grade systems.
• Experience with AI-powered development tools is a strong plus; familiarity with concepts like 'agentic coding' for workflow automation or 'context engineering' for leveraging LLMs in system design is highly desirable.

Skills:

• Strong problem-solving ability, with experience handling complex technical challenges.
• Ability to lead technical initiatives and mentor junior engineers.
• Excellent communication skills to collaborate with cross-functional teams and articulate trade-offs.
• Self-motivated, proactive, and able to operate independently while aligning with team goals.
• Passionate about engineering culture, quality, and developer productivity.

Core Responsibilities:

• Design, develop, and maintain backend services and APIs using Python or Golang.
• Write high-quality, testable, and maintainable code with a focus on performance and scalability.
• Implement automated tests and contribute to CI/CD pipelines.
• Collaborate with product, QA, and DevOps teams for end-to-end feature delivery.
• Troubleshoot production issues and provide timely resolutions.
• Participate in design and architecture discussions to improve system efficiency.
• Contribute to improving development processes, coding standards, and best practices.

Experience and Expertise:

• 2–4 years of experience in backend development with Python or Golang.
• Solid understanding of RESTful APIs, microservices, and distributed systems.
• Strong knowledge of data structures, algorithms, and OOPS principles.
• Hands-on experience with relational and/or NoSQL databases.
• Familiarity with Linux development, Docker, and basic cloud concepts (AWS/GCP/Azure).
• Proficiency with Git and version control workflows.
• Familiarity with AI-powered development tools or exposure to projects involving large language models (LLMs) is a plus.

Skills:

• Strong analytical and debugging skills with the ability to solve complex problems.
• Good communication and collaboration skills across teams.
• Ability to work independently with minimal supervision while being a strong team player.
• Growth mindset – eagerness to learn new technologies and improve continuously.

Core Responsibilities:

• Design, develop, and maintain backend services and APIs using Python or Golang.
• Write high-quality, testable, and maintainable code with a focus on performance and scalability.
• Implement automated tests and contribute to CI/CD pipelines.
• Collaborate with product, QA, and DevOps teams for end-to-end feature delivery.
• Troubleshoot production issues and provide timely resolutions.
• Participate in design and architecture discussions to improve system efficiency.
• Contribute to improving development processes, coding standards, and best practices.

Experience and Expertise:

• 1-2 years of experience in backend development with Python or Golang.
• Solid understanding of RESTful APIs, microservices, and distributed systems.
• Strong knowledge of data structures, algorithms, and OOPS principles.
• Hands-on experience with relational and/or NoSQL databases.
• Familiarity with Linux development, Docker, and basic cloud concepts (AWS/GCP/Azure).
• Proficiency with Git and version control workflows.
• Familiarity with AI-powered development tools or exposure to projects involving large language models (LLMs) is a plus.

Skills:

• Strong analytical and debugging skills with the ability to solve complex problems.
• Good communication and collaboration skills across teams.
• Ability to work independently with minimal supervision while being a strong team player.
• Growth mindset – eagerness to learn new technologies and improve continuously.

What This Role Requires

We are seeking an experienced Data + Business Intelligence Architect to lead client engagements in designing, developing, and implementing enterprise data architectures. This is a priority position requiring a seasoned professional who can work directly with clients to build robust data foundations, establish governance frameworks, and create scalable data solutions that drive business intelligence and analytics capabilities. The ideal candidate will excel in client-facing environments and deliver high-impact data solutions across diverse business contexts. Here is what you will do:

• Design and implement enterprise data architecture following Medallion architecture principles (Bronze, Silver, Gold layers)
• Build and optimize data pipelines to integrate data from multiple external sources into centralized data platforms
• Develop and maintain semantic layers that enable consistent business definitions and metrics across the organization
• Establish data foundations built on strong data governance principles, including data quality, security, and compliance frameworks
• Lead the implementation and management of data lakes and data fabric architectures
• Define and enforce data governance layers including metadata management, data lineage, and access controls
• Collaborate with business stakeholders to translate business requirements into scalable technical solutions
• Provide architectural guidance and mentorship to data engineering and analytics teams
• Drive best practices for data modeling, ETL/ELT processes, and BI reporting strategies

Key Skills to Succeed in This Role:

Non-Negotiable Technical Skills

• Medallion Architecture: Proven hands-on experience designing and implementing Medallion architectures (Bronze/Silver/Gold data layers)
• Data Pipeline Development: Extensive experience building scalable data pipelines from multiple external sources (APIs, databases, files, streaming sources)
• Semantic Layer Creation: Demonstrated ability to design and implement semantic layers that provide unified business metrics and definitions
• Data Foundation & Governance: Strong expertise in building data foundations with integrated data governance principles including data quality, lineage, security, and compliance
• Data Lakes & Data Fabric: Hands-on experience establishing and managing data lakes and/or data fabric architectures with governance layers

Additional Required Qualifications

• 10+ years of experience in data architecture, data engineering, and business intelligence roles
• Expert-level knowledge of modern data platforms and cloud technologies (Azure, AWS, GCP, Databricks, Snowflake, etc.)
• Strong understanding of data modeling techniques (dimensional modeling, data vault, etc.)
• Proficiency in SQL, Python, and modern data transformation frameworks (dbt, Apache Spark, etc.)
• Experience with BI and analytics tools (Power BI, Tableau, Looker, etc.)
• Strong communication skills with ability to explain complex technical concepts to non-technical stakeholders
• Proven track record of delivering enterprise-scale data solutions

Preferred Qualifications

• Industry Experience: Background in biopharma, pharmaceutical, or Contract Research Organization (CRO) environments is a significant advantage
• Experience with Informatica or other data cataloging tools
• Understanding of regulatory compliance requirements (FDA, EMA, GxP) for data management in life sciences
• Experience with clinical trial data, laboratory data, or regulatory submission data
• Familiarity with industry-specific data standards (CDISC, HL7, LOINC)
• Master's degree in Computer Science, Data Science, Information Systems, or related field
• Relevant certifications (cloud architecture, data engineering, or data governance certifications)

Key Skills:

Technical Skills

• Power BI Development: 4-5 years of hands-on experience developing Power BI reports, dashboards, and data models
• DAX: Strong proficiency in DAX (Data Analysis Expressions) for creating measures, calculated columns, and complex calculations
• Power Query / M Language: Expertise in data transformation and ETL processes using Power Query
• Data Modeling: Solid understanding of dimensional modeling, star schema, and data warehouse concepts
• SQL: Proficient in SQL for data extraction, manipulation, and querying relational databases
• Power BI Service: Experience with Power BI Service administration, workspace management, scheduled refreshes, and deployment pipelines
• Custom Visualizations: Experience creating and configuring custom visuals, including use of AppSource visuals and custom visual development using Power BI Visuals SDK
• API Integration: Hands-on experience with Power BI REST APIs for automating deployments, managing workspaces, and embedding reports
• Knowledge of data visualization best practices and UI/UX principles for dashboard design
• Experience with data source connectivity (SQL Server, Azure SQL, Oracle, SAP, Excel, APIs, web services)

Additional Required Qualifications

• Bachelor’s degree in computer science, Information Systems, Business Analytics, or related field
• Strong analytical and problem-solving abilities
• Excellent communication skills to work with both technical and non-technical stakeholders
• Ability to manage multiple projects and prioritize tasks effectively
• Detail-oriented with commitment to delivering high-quality work
• Client-facing experience with ability to gather requirements and present solutions

Preferred Qualifications

• Microsoft Power BI certification (PL-300 or equivalent)
• Experience with Azure ecosystem (Azure Data Factory, Azure Synapse Analytics, Azure SQL Database)
• Knowledge of other Microsoft BI tools (SSRS, SSAS, Excel Power Pivot)
• Familiarity with Python or R for advanced analytics integration
• Experience with Dataflows and incremental refresh strategies
• Understanding of API development for custom visuals or Power BI embedded solutions
• Experience working in Agile/Scrum development environments

Lead and scale engineering team (hiring, mentoring, performance)

Own end-to-end delivery (sprints, timelines, execution)

Drive system architecture (full-stack: frontend + backend)

Collaborate with Product & Design teams

Ensure code quality, CI/CD, and production stability

Manage stakeholders and balance tech vs business priorities

Work on AI/LLM-based product enhancements

Implement engineering best practices & processes

Key Responsibilities:

• Design and architect solutions across Core HR, Payroll, Benefits, and Talent Management
• Configure and enable UKG Pro (UltiPro) features and workflows
• Translate business requirements into scalable HCM solutions
• Lead system integrations, testing, and release management
• Optimize existing HR processes for efficiency, compliance, and user experience
• Collaborate with stakeholders and ensure successful solution delivery

Required Skills:

• 7–12 years of experience in HCM / HR Technology roles
• Strong hands-on experience with UKG Pro (UltiPro)
• Expertise in Core HR, Payroll, Benefits, Talent Management
• Experience in workflows, security roles, and integrations
• Strong stakeholder management and communication skills

Responsibilities:

• Lead architecture, technical decisions, and ensure code quality, scalability, and performance
• Develop backend systems using Python & SQL; build APIs and optimize databases
• Work with frontend (React/Angular) and API-driven architectures
• Integrate AI/ML models and support analytics/LLM-based solutions
• Manage cloud deployments (Azure/AWS) and implement CI/CD practices
• Ensure system reliability, monitoring, and production readiness
• Mentor team members, conduct reviews, and collaborate with cross-functional teams

Responsibilities:

• Lead architecture, technical decisions, and ensure code quality, scalability, and performance
• Develop backend systems using Python & SQL; build APIs and optimize databases
• Work with frontend (React/Angular) and API-driven architectures
• Integrate AI/ML models and support analytics/LLM-based solutions
• Manage cloud deployments (Azure/AWS) and implement CI/CD practices
• Ensure system reliability, monitoring, and production readiness
• Mentor team members, conduct reviews, and collaborate with cross-functional teams

• 10+ years of software development experience
• 3+ years in a technical leadership role
• Strong expertise in Python and SQL
• Experience building scalable APIs and backend systems
• Solid understanding of database design and performance tuning
• Experience with Azure cloud services (AWS familiarity preferred)
• Working knowledge of ML/AI integration in enterprise systems
• Experience in client-facing or consulting environments preferred
• Experience with Databricks or modern data platforms
• Exposure to ETL tools such as Talend
• Experience with BI tools (e.g., Power BI)
• Exposure to regulated domains such as Pharma, Healthcare