Ampera Technologies

About the Role

We are looking a skilled Incorta Engineer with 4–5 years of experience in Data engineering and Business Intelligence. The ideal candidate should have hands-on expertise in implementing, developing, and maintaining Incorta solutions, integrating data from multiple enterprise systems, and delivering high-performance analytics and reporting. The candidate should be comfortable working with cross-functional teams and supporting end-to-end data analytics initiatives.

Key Responsibilities

·      Design, develop, and maintain Incorta dashboards, schemas, and analytics solutions.

·      Develop and optimize Incorta Direct Data Mapping (DDM) and physical schemas.

·      Integrate data from ERP, CRM, databases, cloud platforms, and other enterprise applications into Incorta.

·      Develop and maintain ETL/ELT processes to support data ingestion and transformation.

·      Optimize Incorta performance, data loads, and query execution.

·      Troubleshoot data integration, reporting, and application issues.

·      Collaborate with business users to gather reporting requirements and translate them into technical solutions.

·      Develop reports, visualizations, and dashboards to support business decision-making.

·      Perform data validation, reconciliation, and quality checks.

·      Create technical documentation, deployment guides, and support documentation. 

·      Support production deployments and resolve issues within defined SLAs. 

Required Skills & Experience

·      4–5 years of experience in Business Intelligence, Data Engineering, or Analytics.

·      Strong hands-on experience with Incorta development and administration.

·      Experience designing and developing Incorta schemas, dashboards, and reports.

·      Strong SQL skills and experience working with relational databases such as Oracle, SQL Server, PostgreSQL, or MySQL.

·      Experience integrating data from ERP systems such as Oracle EBS, SAP, or similar enterprise applications.

·      Good understanding of ETL/ELT concepts and data warehousing principles.

·      Experience with data modeling and performance optimization.

·      Familiarity with scripting using Python or Shell scripting is an added advantage.

·      Knowledge of cloud platforms (AWS, Azure, or GCP) is preferred.

Preferred Skills

·      Experience with Oracle EBS, SAP, Salesforce, or other enterprise applications.

·      Exposure to BI and reporting tools such as Power BI, Tableau, or Qlik.

·      Understanding of data governance and data quality best practices.

·      Experience working in Agile/Scrum environments.

·      Incorta certification is an added advantage.

Educational Qualification

·      Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. 

Key Competencies

·      Strong analytical and problem-solving skills.

·      Excellent SQL and data analysis capabilities.

·      Good communication and stakeholder management skills.

·      Ability to work independently and manage multiple priorities.

·      Strong attention to detail and commitment to delivering high-quality solutions.

About the Role

We are looking for an experienced Snowflake Architect with 10+ years of overall IT experience and strong expertise in designing, implementing, and optimizing enterprise-scale data platforms using Snowflake. The ideal candidate will have a deep understanding of cloud data warehousing, data architecture, ETL/ELT frameworks, and data engineering best practices. This role requires close collaboration with business stakeholders, data engineers, architects, and analytics teams to build scalable, secure, and high-performing data solutions.

Key Responsibilities

·      Design and implement scalable, secure, and high-performance data architectures using Snowflake.

·      Define enterprise data models, data warehouse architecture, and best practices for data governance.

·      Design and optimize ELT/ETL pipelines for structured and semi-structured data.

·      Lead Snowflake implementation, migration, and modernization initiatives.

·      Optimize Snowflake performance, query execution, clustering, partitioning, and cost management.

·      Design data integration solutions using cloud-native and third-party ETL tools.

·      Establish security frameworks, role-based access control (RBAC), data masking, and governance policies. 

·      Collaborate with Data Engineers, BI Developers, Data Scientists, and business stakeholders to deliver end-to-end data solutions.

·      Conduct architecture reviews, performance tuning, and capacity planning.

·      Mentor technical teams and establish development standards and best practices.

·      Support CI/CD implementation and DevOps practices for data platforms.

·      Prepare technical documentation, architecture diagrams, and solution design documents. 

Required Skills & Experience

·      10+ years of overall IT experience with at least 5+ years of hands-on experience in Snowflake architecture and implementation.

·      Strong expertise in Snowflake Data Cloud architecture and administration.

·      Experience designing enterprise-scale data warehouse and lakehouse solutions.

·      Strong SQL programming and query optimization skills.

·      Experience with ETL/ELT tools such as Matillion, dbt, Informatica, Talend, Fivetran, or Azure Data Factory.

·      Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).

·      Hands-on experience with data modeling techniques (Star Schema, Snowflake Schema, Data Vault, Dimensional Modeling).

·      Experience with performance tuning, workload optimization, and Snowflake cost optimization.

·      Knowledge of data security, governance, encryption, and compliance best practices.

·      Experience with Git, CI/CD pipelines, and Agile development methodologies. 

Preferred Skills

·      Snowflake certifications (SnowPro Core or SnowPro Advanced).

·      Experience with Python, Scala, or Java for data engineering tasks. 

·      Knowledge of Apache Spark, Kafka, or other big data technologies.

·      Exposure to Power BI, Tableau, or other BI and visualization tools.

·      Experience working with large-scale enterprise data migration projects.

·      Understanding of DataOps and MLOps practices. 

Educational Qualification

·      Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline.

Key Competencies

·      Strong analytical and problem-solving skills.

·      Excellent communication and stakeholder management abilities.

·      Proven experience in leading architecture discussions and technical solution design.

·      Ability to mentor teams and drive technical excellence.

·      Self-driven, proactive, and capable of working effectively in a remote environment.

About the Role

We are looking for a skilled SQL Server DBA with 4–5 years of experience in SQL Server database administration, performance tuning, and enterprise data integration. The ideal candidate should have hands-on experience working with Product Lifecycle Management (PLM) systems, ERP integrations, and data bridge solutions to enable seamless data exchange between enterprise applications.

Key Responsibilities

· Administer, monitor, and maintain Microsoft SQL Server databases to ensure high availability, security, and performance.

· Design, implement, and support PLM–ERP data bridge solutions for seamless integration between Product Lifecycle Management and ERP systems.

· Develop and optimize SQL queries, stored procedures, views, triggers, and database objects.

· Monitor database performance and perform query optimization, indexing, and troubleshooting.

· Design and implement database backup, recovery, disaster recovery, and high availability strategies.

· Build and maintain ETL processes and data synchronization workflows between PLM, ERP, and other enterprise applications. 

· Collaborate with application development teams to support database design and application deployments.

· Perform database migrations, upgrades, patching, and environment maintenance.

· Ensure database security, user management, and compliance with organizational standards.

· Create and maintain technical documentation, database architecture, and operational procedures. 

Required Skills & Experience

· 4–5 years of hands-on experience as a SQL Server DBA.

· Strong expertise in Microsoft SQL Server (2016/2019/2022 or later).

· Excellent knowledge of SQL, T-SQL, Stored Procedures, Functions, Triggers, Views, and Performance Tuning.

· Experience in database backup, restore, replication, indexing, and high availability (Always On, Log Shipping, Replication).

· Hands-on experience working with Product Lifecycle Management (PLM) systems.

· Experience implementing or supporting PLM–ERP data bridge/integration solutions.

· Knowledge of ERP systems such as SAP, Oracle E-Business Suite, Microsoft Dynamics, Infor, or similar platforms.

· Experience with ETL tools and enterprise data integration.

· Strong troubleshooting and root cause analysis skills. 

Preferred Skills

· Experience with Teamcenter, Windchill, Enovia, Arena PLM, or similar PLM platforms.

· Knowledge of SSIS, SSRS, and SSAS.

· Experience with PowerShell or Python scripting for database automation.

· Exposure to Azure SQL Database or cloud-based SQL environments. 

· Understanding of manufacturing, engineering, or product development processes.

· Familiarity with CI/CD and DevOps practices. 

Educational Qualification

· Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.

Key Competencies

· Strong analytical and problem-solving skills.

· Excellent communication and stakeholder management abilities.

· Ability to work independently in a remote environment.

· Strong attention to detail and commitment to database reliability and performance.

· Ability to manage multiple priorities in a fast-paced environment.

Job Summary

We are seeking a Data Security Engineer with strong expertise in Snowflake security and Business Intelligence platforms to design and implement enterprise-wide Role-Based Access Control (RBAC) aligned with the Principle of Least Privilege. The ideal candidate will have experience securing modern analytics environments and implementing Authentication, Authorization, and Auditing (AAA) controls across data platforms.

Key Responsibilities

• Design and implement Role-Based Access Control (RBAC) in Snowflake.
• Develop security models following the Principle of Least Privilege (PoLP).
• Configure and manage users, roles, permissions, schemas, databases, and warehouses in Snowflake.
• Implement Authentication, Authorization, and Auditing (AAA) controls.
• Secure access to BI platforms including:
• Power BI
• Spotfire
• Incorta
• Design row-level security (RLS), column-level security (CLS), and object-level permissions.
• Integrate enterprise Identity Providers (Azure AD, Okta, SSO, LDAP).
• Conduct access reviews and user entitlement analysis.
• Implement audit logging and monitor privileged access.
• Partner with Data Engineering, Security, Governance, and Business teams to ensure secure data access.
• Support compliance initiatives including SOX, GDPR, HIPAA, or ISO 27001, where applicable.
• Create documentation for security architecture, role hierarchy, and access governance.

Required Skills

Data Platforms

• Snowflake Security Administration
• Snowflake RBAC
• Snowflake Shares
• Secure Views
• Dynamic Data Masking
• Row Access Policies
• Column Masking Policies
• Database Roles
• Warehouse Security

BI Tools

• Power BI Security
• Spotfire Administration
• Incorta Security

Identity & Access Management

• RBAC
• ABAC (good to have)
• Azure Active Directory / Entra ID
• Okta
• SAML
• OAuth
• LDAP
• Multi-Factor Authentication

Governance

• Principle of Least Privilege
• Segregation of Duties (SoD)
• Access Certification
• Audit Controls
• User Provisioning & Deprovisioning

Programming/Scripting

• SQL
• Python
• PowerShell or Bash
• Terraform (preferred)
• SnowSQL

Required Experience

• 5–8 years in Data Security or Data Platform Administration.
• 3+ years administering Snowflake.
• Experience implementing enterprise RBAC models.
• Experience securing Power BI environments.
• Hands-on administration of Spotfire and/or Incorta.
• Experience with enterprise Identity Providers.
• Experience conducting security audits and access reviews.
• Strong understanding of data governance and compliance.

Nice to Have

• Snowflake Native Apps
• Unity Catalog
• Microsoft Purview
• Collibra
• Immuta
• Informatica Data Governance
• Apache Ranger
• Privileged Access Management (CyberArk, BeyondTrust)

Job Description – Data Scientist (Machine Learning & Forecasting)

About the Role

We are looking for a highly skilled Data Scientist with strong expertise in Machine Learning, Traditional Statistical Modelling, Forecasting, and Predictive Analytics. The ideal candidate will have hands-on experience building and deploying end-to-end ML solutions, working with large datasets, and translating business problems into scalable data science solutions.

The role requires a strong foundation in statistics, predictive modelling, feature engineering, model evaluation, and time-series forecasting, along with the ability to collaborate with cross-functional teams to deliver business impact.

Key Responsibilities

• Design, develop, and deploy Machine Learning models for business-critical use cases.
• Build and optimize traditional ML models such as:
• Linear Regression
• Logistic Regression
• Decision Trees
• Random Forest
• Gradient Boosting (XGBoost, LightGBM, CatBoost)
• Support Vector Machines
• Clustering Algorithms
• Develop forecasting solutions using:
• ARIMA / SARIMA
• Prophet
• Exponential Smoothing
• Time-Series Regression Models
• Perform exploratory data analysis (EDA), feature engineering, and data validation.
• Evaluate model performance using appropriate statistical and business metrics.
• Work with structured and semi-structured datasets from multiple sources.
• Collaborate with business stakeholders to understand requirements and translate them into analytical solutions.
• Build scalable data pipelines and support model deployment in production environments.
• Monitor model performance, identify data drift, and implement model retraining strategies.
• Present insights and recommendations to technical and non-technical stakeholders.

Required Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related quantitative field.
• 5+ years of hands-on experience in Data Science, Machine Learning, and Forecasting.

Technical Skills

   Machine Learning

• Strong understanding of supervised and unsupervised learning algorithms.
• Experience with ensemble methods and advanced ML techniques.
• Expertise in model selection, hyperparameter tuning, and performance optimization.

Forecasting & Statistics

• Strong understanding of:
• Time-Series Analysis
• Forecasting Techniques
• Statistical Inference
• Hypothesis Testing
• Probability Distributions
• A/B Testing

Programming

• Advanced proficiency in Python.
• Experience with:
• Pandas
• NumPy
• Scikit-learn
• Statsmodels
• XGBoost / LightGBM
• Prophet

Data & SQL

• Strong SQL skills with experience in complex queries and performance optimization.
• Experience working with large-scale datasets.

Visualization

• Experience with Power BI, Tableau, Matplotlib, Seaborn, or Plotly.
• Cloud & MLOps (Preferred)
• Exposure to AWS, Azure, or GCP.
• Understanding of Docker, Kubernetes, CI/CD, and ML model deployment practices.

Key Competencies

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.
• Ability to work independently in a fast-paced environment.
• Strong business acumen and data-driven decision-making mindset. 

Role Overview

We are seeking a hands-on technology POD Lead who blends engineering excellence with statistical rigor and business acumen to drive end-to-end product delivery in an agile, data-driven environment. The ideal candidate will lead a multidisciplinary team of BI developers, data engineers, ML practitioners, and product analysts to accelerate business growth through scalable, AI-enabled products, econometric models and intelligent insights.

This role sits at the intersection of engineering, analytics, econometrics, MLOps and growth strategy, requiring a balance of technical depth, stakeholder engagement, and agile execution.

Key Responsibilities

1. Leadership & Delivery

• Lead a cross-functional pod of data engineers, BI developers, statisticians and machine learning engineers to deliver AI-powered products and analytics solutions.
• Translate strategic goals into data science roadmaps executed in agile sprints, ensuring measurable business outcomes for every release.
• Foster a culture of experimentation, accountability, and rapid iteration across data, AI, and product workstreams.

2. Product & Business Integration

• Partner with business stakeholders across Sales, Marketing, Finance, and Operations to identify high-impact use cases such as churn prediction, growth forecasting, pricing optimization, causal impact analysis or next-best-action recommendations.
• Drive the roadmap for analytical and econometric product capabilities (e.g., predictive dashboards, personalization engines, time-series forecasting, and more).
• Ensure all solutions are aligned with enterprise data strategy, governance, MLOps lifecycle and security standards.

3. Technical Execution

• Collaborate with ML engineers to productionalize models using Databricks, MLflow, Azure ML, or equivalent CI/CD MLOps frameworks.
• Guide teams on feature engineering, model selection, hyperparameter tuning, and validation for statistical and machine learning models.
• Encourage adoption of reusable data assets, API-based integrations, and modular code frameworks.
• Oversee econometric modeling, causal inference studies, and time-series forecasting for business-critical decision-making.
• Champion model lifecycle management, including version control, retraining pipelines, and performance drift monitoring.

4. Business Intelligence & Data Storytelling

• Supervise the creation of advanced BI dashboards and insight layers powered by predictive and generative AI.
• Translate complex statistical outputs into actionable business narratives for executive decision-making.
• Champion KPI alignment and measurement frameworks, ensuring analytics deliver quantifiable value to revenue, growth, retention, and operational efficiency metrics.

5. Agile Program Management

• Manage sprint planning, backlog prioritization, and resource allocation across concurrent projects.
• Track velocity, quality metrics, and ROI impact for each product stream.
• Coach teams on agile best practices and outcome-oriented delivery.

Qualifications

Required

• 10+ years of total experience with at least 3 years in a tech lead capacity.
• Proven expertise in Python, SQL, statistical modeling (e.g., regression, time-series, causal inference) and one or more of Power BI, Tableau, MicroStrategy.
• Strong foundation in data engineering, cloud architecture (Azure/AWS/GCP), and ML model deployment.
• Experience leading cross-functional agile teams with engineers, analysts, and data scientists.
• Excellent communication and stakeholder management skills — capable of simplifying complex data stories for business leaders.

Preferred

• Experience in forecasting models, econometrics, and experimental design (A/B testing, uplift modeling).
• Exposure to MLOps tools (MLflow, Kubeflow, Airflow, Azure ML pipelines) and monitoring frameworks for models in production.
• Familiarity with agentic AI, LLM-based product development, or generative analytics use cases.
• Prior experience building analytics or AI solutions in B2B, SaaS, or digital transformation contexts.
• Certifications in Agile, Cloud (Azure ML, AWS Data Analytics), or Data Science specialization are a plus.

Key Traits

• Hands-on technologist who can code, review, and guide with empathy.
• Strategic thinker who connects product vision with execution.
• Comfortable operating in ambiguity and scaling solutions from POC to enterprise rollout.
• Passionate about mentoring teams and embedding a data-first, growth-oriented mindset.

About the Role

We are seeking a proactive and detail-oriented Site Reliability Engineer (SRE) with 3+ years of experience to ensure high availability, reliability, and performance of production systems.

This role focuses on automation, observability, incident management, and cross-team coordination to drive operational excellence.

Key Responsibilities

· Maintain reliable, scalable, and secure production environments.

· Implement and manage monitoring, alerting, and logging solutions.

· Contribute to defining and tracking SLIs/SLOs and support error budget practices.

· Automate operational tasks to improve efficiency and reduce manual effort.

· Perform troubleshooting and Root Cause Analysis (RCA) for production incidents.

· Optimize system performance, availability, and capacity.

· Maintain runbooks, SOPs, and incident documentation in Confluence.

· Adhere to change management, deployment governance, and disaster recovery standards.

· Support incident response for critical production services.

Collaboration & Tools

· Coordinate with external vendors and internal cross-functional teams.

· Work closely with Engineering, Product Owners, and Operations teams.

· Manage incidents and changes using ServiceNow & JIRA.

· Collaborate through Slack and structured communication channels.

Technical Skills

Systems & Cloud

· Strong knowledge of Windows and Linux/Unix systems.

· Solid understanding of networking fundamentals (DNS, TCP/IP, Load Balancing, Firewalls).

· Experience with at least one cloud platform (AWS, Azure, or GCP).

Automation & CI/CD

· Proficiency in one scripting/programming language (Python, Go, Bash, PowerShell, or Java).

· Understanding of CI/CD pipelines and automation practices.

Containers & Observability

· Hands-on experience with Docker and Kubernetes.

· Experience with monitoring tools such as Grafana or Power BI.

· Ability to analyze logs, metrics, and traces for troubleshooting.

ITSM & Documentation

· Experience with ServiceNow & JIRA (incident/change/problem workflows).

· Working knowledge of Confluence for technical documentation and knowledge management.

Additional Experience (Preferred)

· Background in DevOps, Cloud Engineering, or Platform Engineering.

· Understanding of security best practices and compliance standards.

· Familiarity with AI-assisted engineering tools (Claude Code, Jellyfish, GitHub Copilot).

· Exposure to large-scale or production-grade systems.

Soft Skills

· Strong analytical and troubleshooting mindset.

· Excellent written and verbal communication skills.

· Effective stakeholder and vendor coordination.

· Ownership-driven and composed during high-severity incidents.

Applying to jobs at Ampera is completely free. We never ask candidates for any payment.

About the Role

We are looking for a Customer Success Analyst who can work closely with Agile/Scrum teams and bring customer insights into product development. This role will act as a bridge between customers, product, and engineering teams by leveraging data from customer success platforms like Planhat.

Key Responsibilities

• Collaborate with Scrum teams (Product Owner, Developers, Scrum Master) during sprint planning and reviews
• Bring customer insights, feedback, and product usage data into backlog prioritization
• Monitor customer health scores, adoption metrics, and churn risks using tools like Planhat or Gainsight
• Translate customer challenges into actionable user stories and requirements
• Track feature adoption post-release and provide feedback to product teams
• Work closely with Customer Success, Sales, and Support teams to ensure alignment
• Maintain and analyze customer data in CRM tools like Salesforce or HubSpot
• Support renewal and retention strategies by identifying at-risk accounts

Key Requirements

• 5+ years of experience in Customer Success / Business Analysis / Product Support / Account Management
• Basic understanding of Agile / Scrum methodologies
• Experience with Customer Success platforms (Planhat, Gainsight, or similar)
• Strong analytical and problem-solving skills
• Ability to interpret customer data and convert it into actionable insights
• Good communication skills to work with cross-functional teams
• Experience working in SaaS or product-based environments preferred

Good to Have

• Exposure to Agile tools (Jira, Confluence)
• Experience with product analytics tools (Mixpanel, Amplitude)
• Understanding of customer lifecycle management and SaaS metrics (churn, retention, LTV)
• Exposure to accessibility and inclusive product design

Role Overview

We are seeking an experienced Power BI & Microsoft Fabric Consultant to partner with our BI team for a short-term engagement focused on capability building, governance setup, and platform enablement.

The primary objective of this role is to upskill the team and establish a robust, scalable foundation for Power BI and Microsoft Fabric—covering security, governance, administration, and best practices—so that the team can independently manage and scale the platform post-engagement.

This is a hands-on + coaching role, not just advisory.

Key Responsibilities

1. Power BI & Fabric Enablement

• Conduct structured training sessions and workshops on:
• Power BI (Pro + Fabric-integrated experiences)
• Microsoft Fabric (Lakehouse, Warehouse, Dataflows Gen2, Pipelines, etc.)
• Build foundational understanding of:
• End-to-end analytics workflows in Fabric
• Integration between Power BI and Fabric workloads 
• Data Lake will be Snowflake

2. Governance & Security Framework

• Design and implement Power BI & Fabric governance model, including:
• Workspace strategy (Dev/Test/Prod separation)
• Naming conventions and standards
• Content lifecycle management
• Establish security architecture:
• Role-based access control (RBAC)
• Row-Level Security (RLS) / Object-Level Security (OLS)
• Data access patterns across Fabric and Power BI
• Define data sharing and access control processes

3. Administration & Platform Setup

• Configure and optimize:
• Power BI tenant settings
• Fabric capacity (capacity planning, workload management)
• Monitoring and usage metrics
• Set up:
• Deployment pipelines
• CI/CD best practices (where applicable)
• Audit logs and governance controls

4. Best Practices & Standards

• Define and document:
• Development standards (data modeling, DAX, report design)
• Performance optimization guidelines
• Dataset/reusable semantic model strategy
• Establish certification and promotion workflows for datasets and reports

5. Hands-On Implementation

• Work alongside the team to:
• Build or refactor key dashboards/reports using best practices
• Set up Fabric artifacts (Lakehouse/Warehouse/Pipelines)
• Ensure real use cases are implemented, not just theoretical training

6. Knowledge Transfer & Self-Sufficiency

• Provide:
• Playbooks, SOPs, and governance documentation
• Recorded sessions and training materials
• Mentor team members through:
• Office hours / Q&A sessions
• Code and architecture reviews
• Ensure the team can independently:
• Manage Fabric capacity
• Govern Power BI environment
• Implement secure and scalable solutions

Expected Outcomes (End of Engagement)

• Fully defined and implemented Power BI & Fabric governance framework
• Configured and optimized Fabric capacity + Power BI tenant
• Established security and access control processes
• Documented standards, playbooks, and operating model
• BI team capable of independent development, administration, and governance

Required Skills & Experience

Must-Have

• 5+ years of experience in Power BI development and administration
• Hands-on experience with Microsoft Fabric (end-to-end)
• Strong expertise in:
• Power BI governance and tenant administration
• Fabric capacity management
• Security models (RLS, RBAC, data access controls)
• Experience setting up enterprise BI governance frameworks
• Proven track record of training and mentoring teams

Good-to-Have

• Experience with data platforms (Snowflake, Azure, etc.)
• Knowledge of CI/CD for Power BI (DevOps integration)
• Familiarity with data catalog and lineage tools (e.g., Atlan, Alation)
• Understanding of modern data architecture patterns

Job Description: Scrum Trainer / Agile Coach

Role Title:

Scrum Trainer / Agile Coach

Location: Chennai/Bangalore - Remote / On-site (as required)

Employment Type: Full-time / Contract

About the Role

We are looking for an experienced Scrum Trainer or Agile Coach who can enable teams to adopt Agile practices effectively. The role involves training, coaching, and mentoring teams to improve delivery, collaboration, and agility.

Key Responsibilities

• Conduct Scrum and Agile training sessions for teams and leadership
• Coach teams on Agile frameworks including Scrum, Kanban, and Lean
• Facilitate Agile ceremonies (Sprint Planning, Daily Stand-ups, Retrospectives, Reviews)
• Drive Agile transformation and mindset across teams
• Identify gaps and implement process improvements
• Mentor Scrum Masters and Product Owners
• Track Agile maturity and performance metrics

Required Skills & Experience

• 4+ years of experience in Agile / Scrum roles
• Strong understanding of Scrum framework and Agile principles
• Experience in conducting training and workshops
• Excellent facilitation, communication, and stakeholder management skills
• Hands-on experience with tools like Jira, Azure DevOps, etc.

Certifications (Preferred)

• Certified Scrum Master (CSM)
• Professional Scrum Master (PSM)
• SAFe Agilist or equivalent Agile certifications

Preferred Experience

• Experience working with cross-functional tech teams
• Exposure to Agile transformation in organizations
• Experience in coaching distributed teams