Seeking highly skilled and experienced Flutter Developers to join our team. The ideal candidates will have strong expertise in developing cross-platform mobile applications using Flutter, with deep understanding of Android and iOS ecosystems. You will be responsible for delivering high-quality, scalable, and maintainable mobile applications that meet business objectives. Key Responsibilities Design and develop advanced cross-platform mobile applications using Flutter for Android and iOS. Build and customize UI components using Flutter widgets. Integrate with RESTful APIs and third-party packages. Ensure performance, quality, and responsiveness of applications. Collaborate with UI/UX designers, product managers, and backend developers to deliver intuitive and functional user experiences. Implement state management solutions such as Provider, Riverpod, Bloc, etc. Ensure responsive design and smooth functionality across different screen sizes and device types. Implement localization and internationalization to support multiple languages. Set up and manage CI/CD pipelines for mobile app development. Configure and implement push notification services. Conduct code reviews, write unit and integration tests, and optimize performance. Required Skills & Qualifications 3+ years of experience in mobile app development, with at least 2 years in Flutter. Strong knowledge of Flutter SDK. Solid understanding of native mobile app development for Android and iOS. Experience with widget customization and UI rendering. Proficient in integrating and consuming RESTful APIs. Hands-on experience with state management libraries like Provider, Bloc, Riverpod, etc. Familiarity with package management using pub.dev. Experience with setting up CI/CD pipelines using tools like Azure Dev Ops, GitHub Actions, Jenkin, or similar. Knowledge of responsive design principles and adaptive layouts. Experience in implementing localization and internationalization. Proficient in handling push notifications across Android and iOS platforms. Strong problem-solving and debugging skills. Preferred Qualifications Experience in publishing mobile apps to the App Store and Google Play. Familiarity with Agile methodologies and tools like JIRA Understanding of app security, permissions, and performance optimization. Experience in version control systems (Git).

Technical Project Manager Syren is looking for multiple Technical Project Managers for its rapidly growing engineering teams. This is a great opportunity to help design, architect, and build well-built applications for our Fortune 50 clients and more. We are looking for a strong and passionate engineering leader to join our team as we scale the business over the next few years. We are looking for highly motivated engineers with the ability to work in a fast-paced environment, cloud services experience, strong collaboration skills, and enthusiasm to work on various engineering efforts at Syren. Join Syren s fast-growing set of excellent engineering teams. Job Summary The Technical Project Manager will oversee the end-to-end execution of data projects, ensuring alignment with business objectives, timely delivery, and high-quality outcomes. This role requires a blend of technical expertise in big data technologies, project management proficiency, and strong leadership to coordinate cross-functional teams, including data engineers, UI engineers, and business stakeholders. Key Responsibilities Project Planning and Execution : Define project scope, objectives, and deliverables in collaboration with stakeholders. Develop detailed project plans, including timelines, milestones, and resource allocation. Manage project execution, ensuring adherence to scope, budget, and schedule. Identify and mitigate risks, resolving issues that may impact project success. Technical Leadership : Collaborate with data engineers to design scalable and efficient data pipelines. Ensure data solutions meet performance, security, and compliance requirements. Stakeholder Management : Act as the primary point of contact for stakeholders, including business leaders, IT teams, and external vendors. Translate business requirements into technical specifications and communicate progress effectively. Facilitate regular status meetings, providing updates on project health, risks, and outcomes. Team Coordination : Lead cross-functional teams, including data engineers, analysts, and UI Engineers. Foster collaboration and ensure clear communication across all team members. Manage resource allocation and resolve conflicts to maintain team productivity. Quality Assurance and Delivery : Oversee testing and validation of solutions to ensure accuracy and reliability. Ensure deliverables meet quality standards and align with business expectations. Drive post-project evaluations to capture lessons learned and improve future processes. Qualifications Education : Bachelor s degree in Computer Science, Information Technology, Data Science, or a related field. Master s degree or MBA is a plus. Experience : 5+ years of experience in project management, with at least 3 years managing big data or analytics projects. Proven track record of delivering complex, large-scale data projects on time and within budget. Hands-on experience with big data technologies (e.g., Spark,Databricks, etc.). Experience working with cloud platforms (e.g., AWS, Azure, Google Cloud) for big data solutions. Familiarity with Agile and Scrum methodologies; PMP, Agile, or similar certifications are highly desirable. Technical Skills : Strong understanding of big data ecosystems, including data ingestion, storage, processing, and analytics. Knowledge of programming languages (e.g., Python, Scala, or Java) and SQL for data querying. Familiarity with ETL/ELT processes, data lakes, and data warehousing concepts. Experience with DevOps tools (e.g., Jenkins, Docker, Kubernetes) for CI/CD pipelines is a plus. Soft Skills : Excellent leadership and team management skills, with the ability to motivate and guide diverse teams. Strong communication and interpersonal skills to engage with technical and non-technical stakeholders. Exceptional problem-solving and decision-making abilities. Ability to manage multiple priorities in a fast-paced environment. Certifications (Preferred): PMP (Project Management Professional), CAPM, or Agile/Scrum certifications. Certifications in cloud platforms (e.g., AWS Certified Big Data, Google Cloud Professional Data Engineer). About Syren Syren Cloud is a start-up with a mission to help clients transform data and engineering operations for the better. We provide technology services to Fortune 50 clients, including the likes of Microsoft, GitHub, Johnson & Johnson, and UiPath among many others. Over the past year, we have grown to become a 150 strong company and intend to reach over 400 by the end of 2022. Syren believes in a work environment that enables people to do their best at delivering exceptional services to our customers. If you are looking to make an impact at helping our customers in delivering great experiences to their customers Syren is right for you. Working at Syren Syren provides the above-industry salary, learning opportunities, a great work environment, and the chance of being in a fast-growing space. Syren is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability, or veteran status. At Syren, we strive to bring together diverse teams, with world-class experience and different talents.

Company Overview: SyrenCloud Inc. is a leading Data Engineering company that specializes in solving complex challenges in the Supply Chain Management industry. With a growing team of 350+ professionals and a solid revenue of $25M+ , our mission is to empower organizations with cutting-edge software engineering solutions that optimize operations, harness supply chain intelligence, and drive sustainable growth. We prioritize both professional growth and employee well-being, maintaining a positive work culture while offering opportunities for continuous learning and advancement. Role Overview: We are seeking a highly motivated and experienced Scrum Master to join our agile delivery team. The ideal candidate will play a pivotal role in enabling Agile best practices, removing impediments, and supporting cross-functional teams to deliver high-quality software solutions especially in data engineering projects on Azure cloud . Key Responsibilities: Facilitation and Coaching - Guide and coach the team on Agile/Scrum principles and practices - Facilitate core Scrum ceremonies: daily stand-ups, sprint planning, reviews, and retrospectives - Foster a healthy Agile mindset and support team ownership Impediment Removal Team Support - Identify and eliminate blockers affecting sprint progress - Collaborate with the Product Owner to refine and maintain a well-defined backlog - Enable smooth sprint execution and help prioritize tasks Collaboration Communication - Promote open, transparent communication within the team and across departments - Encourage stakeholder engagement and cross-team alignment - Shield the team from unnecessary external interruptions Continuous Improvement - Drive team retrospectives and implement actionable improvements - Monitor Agile metrics to measure progress and optimize team performance - Advocate for a culture of experimentation and growth Education Agile Advocacy - Champion Agile and Scrum across the organization - Support organizational Agile transformation initiatives - Stay updated with latest industry practices and Agile frameworks Required Qualifications: - Proven experience as a Scrum Master in Agile software development environments - Experience working on data engineering projects , particularly within Azure Cloud ecosystems - Strong understanding of Agile principles, frameworks, and ceremonies - Excellent facilitation, conflict resolution, and servant leadership skills - Ability to communicate effectively with both technical and non-technical stakeholders Preferred Certifications: - Certified Scrum Master (CSM) or Professional Scrum Master (PSM) - Additional Agile certifications such as SAFe , PMI-ACP , or ICP-ACC are a plus

We are seeking a hands-on and detail-oriented Data Support Engineer to support, monitor, and maintain our data platforms and ETL pipelines. This role includes managing production data operations, troubleshooting technical issues, and supporting infrastructure-level tasks such as scaling applications, modifying cluster configurations, and optimizing resources for performance and cost. Responsibilities: Monitor, manage, and maintain data pipelines to ensure reliable and timely data processing. Investigate and resolve production issues and data anomalies in a timely manner, ensuring minimal business disruption. Triage and resolve support tickets related to data functionality, job failures, performance issues, and availability. Troubleshoot technical problems and respond to customer or internal team queries within defined SLA timelines. Perform root cause analysis for incidents and recommend/implement long-term solutions and preventive measures. Scale up/down infrastructure components such as Databricks clusters and Azure Data Factory integration runtimes based on pipeline needs. Modify and manage configuration settings for performance tuning, cost optimization, and capacity planning. Implement and execute data imports/exports for internal users or customers as needed. Maintain and update support documentation, standard operating procedures (SOPs), and knowledge base articles. Detect and resolve potential issues proactively before they impact the platform or downstream users. Collaborate with engineering teams on infrastructure and platform improvements to enhance data reliability and scalability. Requirements & Skills: At least 3 years of experience in ETL development, production monitoring, or technical support roles. Practical knowledge of Databricks, Azure Data Factory (ADF), Python, and SQL. Experience working with cloud infrastructure related to data platforms, especially in Azure. Familiarity with scaling and configuration management of cloud-based compute resources (e.g., Databricks clusters, ADF IR). Proficiency in scripting languages (e.g., Python, Bash) for automation and data handling. Understanding of database systems, data modeling, and data validation techniques. Experience with data integration and ETL workflows in production environments. Knowledge of data backup, recovery, and incident management processes. Strong analytical and problem-solving skills for diagnosing complex technical issues. High attention to detail and a commitment to data quality and operational excellence. Excellent verbal and written communication skills, with a collaborative approach to teamwork. Preferred Qualifications: Familiarity with monitoring and alerting tools (e.g., Azure Monitor, Log Analytics). Understanding of CI/CD practices, version control (Git), and DevOps collaboration. Exposure to data governance, compliance, and data security best practices.

Job Title: Data Scientist Location: Hyderabad (Hybrid, Remote) Job Type: Full-time Experience Level: 3-6 Years Responsibilities: Data Analysis and Modelling: Utilize statistical and machine learning techniques to analyse large datasets and derive actionable insights. Develop predictive models and algorithms to address business challenges and improve decision-making processes. Feature Engineering and Data Preprocessing: Work with raw data to perform data cleaning, transformation, and feature engineering to prepare datasets for analysis. Collaborate with cross-functional teams to gather and understand data requirements. Model Deployment and Monitoring: Implement and deploy machine learning models into production environments. Monitor model performance and make necessary adjustments to ensure continued accuracy and relevance. Collaboration and Communication: Collaborate with data engineers, analysts, and business stakeholders to understand their requirements and provide data-driven solutions. Communicate complex findings and insights in a clear and understandable manner to both technical and non-technical stakeholders. Continuous Learning and Research: Stay abreast of industry trends and advancements in data science and machine learning. Continuously enhance skills through training and self-directed learning. Requirements: Education and Experience: Bachelors or Masters degree in Computer Science, Statistics, or a related field. years of proven experience as a Data Scientist. Technical Skills: Proficient in programming languages such as Python or R. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Strong knowledge of statistical analysis and data visualization tools. Problem-Solving: Ability to translate business problems into analytical frameworks and develop data-driven solutions. Communication Skills: Strong interpersonal and communication skills with the ability to explain complex concepts to non-technical stakeholders. Team Collaboration: Demonstrated ability to work effectively in a collaborative team environment.

Detailed Job Description: We are seeking a highly skilled Data Engineer with strong experience in Azure Data Services, SAP integration, and modern data governance tools like Unity Catalog. The ideal candidate will have a deep understanding of data extraction from enterprise systems, data movement across platforms, and performance-optimized data pipeline development. Implement and manage Unity Catalog within the data ecosystem for data governance, security, and access control. Integrate with SAP systems , including connecting to key master data tables and leveraging SAP APIs for data extraction. Develop and maintain data ingestion pipelines using APIs for real-time and batch data extraction. Work with Azure Blob Storage and Azure Synapse Analytics for staging and transformation of large datasets. Design and implement data movement strategies from Synapse to Microsoft Fabric , leveraging native and custom pipelines. Handle and transform multiple data formats including JSON, XML, and CSV . Build and maintain Azure Data Factory (ADF) pipelines , including setup of Linked Services, Datasets, and Integration Runtime configurations. Optimize pipeline performance through tuning, parallelization, and resource management. Implement robust monitoring and logging mechanisms for data pipelines to ensure reliability, traceability, and operational visibility. Skills Required: Extensive experience in data migration , including SAP to Data Lake , SQL databases , and API-based integrations . Proficient in handling diverse data formats : JSON, CSV, Parquet, XML. Strong hands-on expertise with Azure services : ADLS for scalable storage ADF for ETL/ELT pipelines Synapse for analytics and reporting Strong hands-on expertise with Databricks, Unity Catalog Strong knowledge on Synapse to Fabric data lake and pipelines

This role involves coordinating cross-functional teams, managing timelines and resources, and ensuring project goals align with the organization s objectives. The ideal candidate is an excellent communicator, highly organized, and skilled at stakeholder management. Key Responsibilities Project Planning : Define project scope, objectives, and deliverables in collaboration with stakeholders, ensuring alignment with organizational goals. Resource Management : Allocate resources and coordinate team members to ensure efficient project execution. Timeline Management : Develop and maintain project schedules, track milestones, and ensure timely completion of deliverables. Stakeholder Communication : Act as the primary point of contact for stakeholders, providing regular updates on project progress, risks, and outcomes. Risk Management : Identify potential risks and develop mitigation strategies to keep projects on track. Team Coordination : Facilitate collaboration among cross-functional teams, ensuring clarity of roles and responsibilities. Documentation : Maintain comprehensive project documentation, including plans, reports, and status updates. Quality Assurance : Ensure deliverables meet quality standards and stakeholder expectations. Change Management : Manage scope changes and communicate impacts to stakeholders effectively. Post-Project Evaluation : Conduct project reviews to assess outcomes, gather feedback, and identify lessons learned for future projects. Qualifications Education : Bachelor s degree in business administration, management, Communications, or a related field. A Master s degree or PMP certification is a plus. Experience : 2-5 years of project management experience in non-technical fields such as marketing, operations, event planning, or business administration. Skills : Strong organizational and time-management skills. Excellent verbal and written communication skills. Proficiency in project management tools (e.g., Trello, Asana, Microsoft Project, or similar). Ability to manage multiple projects simultaneously in a fast-paced environment. Strong problem-solving and decision-making abilities. Experience with budget management and resource allocation. Familiarity with risk management and change management processes. Personal Attributes : Proactive, detail-oriented, and adaptable. Strong interpersonal skills with the ability to build relationships and influence stakeholders. Ability to work independently and as part of a team. Preferred Qualifications Certification in project management (e.g., PMP, CAPM, PRINCE2, or Agile). Experience in [specific industry, e.g., marketing, consulting, event management, etc.]. Familiarity with data analysis or reporting tools (e.g., Excel, Google Analytics) for tracking project metrics.