Job Title: Golang Developer Location: Hyderabad Experience: 2-4 Years Job Summary We are looking for a Golang Developer with 2-4 years of experience to join our dynamic team in Hyderabad. As a Golang Developer, you will be responsible for developing high-performance, scalable applications and services. This role requires expertise in Golang along with strong problem-solving skills and the ability to work collaboratively in a fast-paced environment. The role is office-based only, and we require full-time commitment from the office in Hyderabad. Key Responsibilities Application Development: Design, develop, and maintain highly scalable applications using Golang. Code Optimization & Performance Tuning Continuously optimize code for performance, scalability, and reliability.Conduct code reviews and ensure the highest standards of code quality are maintained. System Architecture & Design Design and develop backend systems, services, and APIs that meet functional and non-functional requirements.Contribute to system architecture discussions and help implement robust, scalable solutions. Troubleshooting & Debugging Diagnose and resolve technical issues and bottlenecks in applications.Use debugging and profiling tools to identify issues and optimize system performance. Collaboration & Documentation Work closely with front-end developers, QA, and product teams to deliver seamless applications.Write clear and concise technical documentation for features and systems. Agile Development Work in an Agile development environment, participating in sprints, planning, and retrospectives.Deliver high-quality code on time, ensuring proper testing and integration. Qualifications Education: Bachelor’s degree in Computer Science, Information Technology, or related field. Certifications: Certification in Golang is a plus (but not mandatory). Skills & Expertise Must-Have Technical Skills: Programming Languages: Proficiency in Golang. Concurrency: Strong understanding of concurrency models and multi-threading in Golang. API & RPC Development: Experience with building and maintaining RESTful APIs, along with a trong understanding of gRPC and RPC-based service communication. Database Systems: Experience with SQL/NoSQL databases (PostgreSQL, MongoDB, etc.). Version Control: Proficiency in using Git for version control and collaboration. Testing: Knowledge of writing unit and integration tests. Problem-Solving: Strong analytical and problem-solving skills. Soft Skills Strong analytical and problem-solving skills.Ability to work independently and collaboratively in a team.Good communication skills for reporting issues and progress.Time management and the ability to meet deadlines. Good To Have Skills Experience with cloud platforms like AWS, Azure, or Google Cloud.Knowledge of containerization tools like Docker and container orchestration with Kubernetes.Experience with CI/CD pipelines and DevOps practices.Familiarity with microservices architecture.Event-driven systems: Experience with Kafka/NATs for messaging.Monitoring & Observability: Experience with Grafana, OpenTelemetry for tracing and onitoring. Work Experience 2-4 years of professional experience in software development, specifically in Golang.Proven track record of building high-performance, scalable applications and services.Experience with building backend systems and APIs. Compensation & Benefits Competitive salary and annual performance-based bonuses.Comprehensive health and optional Parental insurance.Retirement savings plans and tax saving plans.Work-Life Balance: Flexible work hours.Professional Development: Opportunities for certifications, workshops, and conferences. Key Result Areas (KRAs) High-Performance Code Delivery - Deliver clean, efficient, and scalable code, focusing on the performance of applications. System Optimization - Optimize backend systems for performance and scalability, especially in high-traffic environments. Cross-Team Collaboration - Contribute to collaborative efforts across teams to ensure the successful delivery of new features. Mentoring & Knowledge Sharing - Act as a mentor for junior developers, helping them improve their skills and knowledge of Golang and Rust development. Key Performance Indicators (KPIs) Code Quality & Efficiency - Percentage of bugs/defects reported post-deployment. & Code quality score based on peer reviews and static code analysis tools. Performance & Scalability - System performance improvement (e.g., response time, throughput) post-optimization & Load testing results for developed features and applications. Timely Delivery - Percentage of tasks delivered on time as per sprint timelines & Number of sprints completed successfully with zero delays. Collaboration & Communication- Positive feedback from peers and cross-functional teams & Number of successfully closed cross-team issues or blockers. Contact: hr@bigtappanalytics.com

Job Title: Sr. Mobile Application Developer Location: Hyderabad Experience: 6 - 8 Years Primary Skills: Flutter (Dart),River Pod Secondary Skills Job Description: Must Skills: Flutter (Dart), River Pod, Git, Deployment to app stores, Mvc, Basic Roles And Responsibilities Job Summary We are seeking an experienced Mobile Application Developer with over 5 years of experience in developing mobile applications using Flutter. The ideal candidate will have a strong understanding of mobile application architecture and best practices, as well as experience in delivering high-quality, scalable mobile solutions for Android and iOS platforms. This role requires expertise in Flutter and the ability to collaborate with cross-functional teams to deliver engaging and user-friendly applications. Key Responsibilities Design, develop, and maintain mobile applications using Flutter for both Android and iOS platforms Collaborate with product managers, designers, and backend developers to create seamless user experiences Develop reusable code and libraries for future use to ensure application scalability Optimize mobile applications for performance, speed, and scalability Ensure application stability and security by performing testing and debugging Stay updated with the latest trends in mobile development and Flutter updates Work closely with the backend team to ensure API integration and data synchronization Document technical designs, app architecture, and maintain code repositories Qualifications Bachelor’s degree in computer science, Information Technology, or a related field 5+ years of professional experience as a Mobile Application Developer. Proven experience with Flutter and Dart for mobile application development Strong knowledge of mobile app architecture and best practices for Android and iOS development Experience with RESTful APIs and third-party integrations Mobile Application Developer certification is a plus Technical Skills Proficiency in Flutter and Dart for mobile application development Experience with Android Studio and Xcode for app deployment and testing Strong understanding of mobile UI/UX design principles and best practices Experience with state management tools like Provider, Riverpod, or Bloc Knowledge of mobile app architecture patterns like MVC, MVVM, or Clean Architecture Familiarity with version control systems like Git and CI/CD pipelines Experience with mobile databases, push notifications, and app security practices Soft Skills Excellent communication and collaboration skills Strong problem-solving abilities and attention to detail Ability to work in a fast-paced, agile development environment Adaptability to evolving technologies and project requirements Self-motivated and proactive in finding solutions Good to Have Experience with native Android (Java/Kotlin) or iOS (Swift/Objective-C) development Knowledge of mobile application performance monitoring tools Experience with Firebase services (Authentication, Firestore, Cloud Messaging) Familiarity with App Store and Google Play Store deployment and release management Experience with integrating machine learning models into mobile applications Compensation & Benefits Competitive salary and annual performance-based bonuses Comprehensive health and optional Parental insurance. Retirement savings plans and tax saving plan. Key Performance Indicators (KPI) Timely delivery of mobile applications with high-quality code Optimization of application performance and user experience Collaboration with cross-functional teams to ensure project success Code quality and adherence to best practices in Flutter development Successful deployment and maintenance of applications across platforms Key Responsibility Areas (KRA) Design, develop, and maintain mobile applications using Flutter Ensure code quality and performance optimization Collaborate with teams to understand and fulfill project requirements Stay updated with emerging Flutter and mobile development trends Provide support and troubleshooting for mobile applications Contact: hr@bigtappanalytics.com Show more Show less

Job Title: Healthcare Data Architect Location: Hyderabad / Chennai / Bangalore Experience: 10+ Years Job Summary We are seeking a highly experienced Healthcare Data Architect to design and manage robust healthcare data systems that meet regulatory requirements, enable interoperability, and support advanced analytics. The ideal candidate will bring over a decade of expertise in healthcare IT, data modelling, and cloud-based solutions to architect scalable, secure systems that serve EHRs, population health, claims, and real-time analytics use cases. Mandatory Skills Data Architecture (Healthcare domain) HL7, FHIR, EHR/EMR systems Data Warehousing & Data Lakes Cloud Platforms (AWS, Azure, GCP) Data Governance & MDM SQL, NoSQL, Python, Spark Key Responsibilities Architect and implement scalable healthcare data platforms Ensure compliance with HIPAA, GDPR, and other healthcare regulations Design data models for EHR, claims, and clinical data Optimize ETL pipelines and manage data flow integrity Lead data warehouse and data lake development Drive interoperability through standards like HL7 and FHIR Implement data governance and quality frameworks Qualifications Bachelor’s or Master’s in Computer Science, Information Systems, or related field Certifications in AWS/Azure and healthcare standards (HL7/FHIR) preferred Technical Skills SQL, Python, Spark, Java HL7, FHIR, CCD, JSON, XML Cloud: AWS (Glue, Redshift), Azure (Synapse, Data Factory), GCP BI: Power BI, Tableau Data modeling tools: Erwin, Enterprise Architect Soft Skills Strong analytical and problem-solving ability Excellent communication & stakeholder engagement Team leadership and mentoring Adaptability in fast-paced environments Good to Have Experience with AI/ML in healthcare pipelines Familiarity with population health & claims analytics Regulatory reporting experience (CMS, NCQA) Work Experience Minimum 10 years in data architecture, with 5+ years in healthcare domain Proven track record in implementing full-cycle data solutions and governance Compensation & Benefits Competitive salary + performance incentives Comprehensive health insurance & wellness programs Learning and development allowance Remote/hybrid flexibility ESOPs for senior leadership (if applicable) Key Result Areas (KRAs) Scalable & compliant data architecture delivery HL7/FHIR integration and uptime Timely milestone delivery & cross-functional collaboration Quality, consistency, and governance of healthcare data Key Performance Indicators (KPIs) Reduction in ETL/data latency and failures Improvement in data quality metrics On-time solution deployment success rate Audit pass rate and compliance score Contact: hr@bigtappanalytics.com

Job Title: Data Architect Location: Hyderabad, Chennai & Bangalore Exprience: 10+ Years Job Summary We are seeking a highly experienced and strategic Data Architect to lead the design and implementation of robust data architecture solutions. The ideal candidate will have a deep understanding of data modelling, governance, integration, and analytics platforms. As a Data Architect, you will play a crucial role in shaping the data landscape across the organization, ensuring data availability, consistency, security, and quality. Mandatory Skills Enterprise data architecture and modeling Cloud data platforms (Azure, AWS, GCP) Data warehousing and lakehouse architecture Data governance and compliance frameworks ETL/ELT design and orchestration Master Data Management (MDM) Databricks architecture and implementation Key Responsibilities Lead, define, and implement end-to-end modern data platforms on public cloud using Databricks Design and manage scalable data models and storage solutions Collaborate with enterprise architects, data architects, ETL developers & engineers, data scientists, and information designers to define required data structures, formats, pipelines, metadata, and workload orchestration capabilities Establish data standards, governance policies, and best practices Oversee the integration of new data technologies and tools Lead the development of data pipelines, marts, and lakes Ensure data solutions are compliant with security and regulatory standards Address aspects such as data privacy & security, data ingestion & processing, data storage & compute, analytical & operational consumption, data modeling, data virtualization, self-service data preparation & analytics, AI enablement, and API integrations Mentor data engineers and developers on best practices Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field Relevant certifications in cloud platforms, data architecture, or governance Technical Skills Data Modelling: Conceptual, Logical, Physical modelling (ERwin, Power Designer, etc.) Cloud: Azure (ADF, Synapse, Databricks), AWS (Redshift, Glue), GCP (Big Query) Databases: SQL Server, Oracle, PostgreSQL, NoSQL (MongoDB, Cassandra) Data Integration: Informatica, Talend, Apache NiFi Big Data: Hadoop, Spark, Kafka Governance Tools: Collibra, Alation, Azure Purview Scripting: Python, SQL, Shell DevOps/DataOps practices and CI/CD tools Soft Skills Strong leadership and stakeholder management Excellent communication and documentation skills Strategic thinking with problem-solving ability Collaborative and adaptive in cross-functional teams Good to Have Experience in AI/ML data lifecycle support Exposure to industry data standards and frameworks (TOGAF, DAMA-DMBOK) Experience with real-time analytics and streaming data solutions Work Experience Minimum 10 years in data engineering, architecture, or related roles At least 5 years of hands-on experience in designing data platforms on Azure Demonstrated knowledge of 2 full project cycles using Databricks as an architect Experience supporting and working with cross-functional teams in a dynamic environment Advanced working SQL knowledge and experience working with relational databases and unstructured datasets Experience with stream-processing systems such as Storm, Spark-Streaming Compensation & Benefits Competitive salary and annual performance-based bonuses Comprehensive health and optional Parental insurance. Retirement savings plans and tax savings plans. Work-Life Balance: Flexible work hours Key Result Areas (KRAs) Effective implementation of scalable and secure data architecture Governance and compliance adherence Standardization and optimization of data assets Enablement of self-service analytics and data democratization Key Performance Indicators (KPIs) Architecture scalability and reusability metrics Time-to-delivery for data initiatives Data quality and integrity benchmarks Compliance audit outcomes Satisfaction ratings from business stakeholders Contact: hr@bigtappanalytics.com

Job Title: Senior Data Scientist Location: Chennai/Hyderabad/Bangalore Experience Required: 8-12 Years Job Summary We are seeking an experienced Senior Data Scientist with a strong background in traditional Machine Learning (ML), AI, and expertise in Azure Fabric to work in the Finance Department of a Bank. The ideal candidate will play a key role in applying advanced analytics to drive business insights, improve processes, and enhance decision-making in the banking sector. The candidate should be proficient in ML models and AI technologies with a focus on real-world banking applications and have hands-on experience with Azure Fabric. Mandatory Skills Proven experience in traditional Machine Learning (ML) and Artificial Intelligence (AI). Strong experience in Azure Fabric and its integration with various banking systems. Expertise in Data Science methodologies, predictive modelling, and statistical analysis. Solid understanding of the Finance domain with a focus on banking processes and challenges. Hands-on experience with big data technologies and cloud platforms (Azure, AWS). Proficiency in Python-related data science libraries (e.g., Pandas, NumPy, Scikit-learn). Experience in data processing, ETL pipelines, and data engineering. Familiarity with SQL and NoSQL databases. Key Responsibilities Design and implement Machine Learning (ML) and Artificial Intelligence (AI) models to solve complex business problems in the finance sector. Work closely with business stakeholders to understand requirements and translate them into data-driven solutions. Develop and deploy ML models on Azure Fabric, ensuring their scalability and efficiency. Analyze large datasets to identify trends, patterns, and insights to support decision-making. Collaborate with cross-functional teams to integrate AI/ML solutions into business processes and banking systems. Maintain and optimize deployed models and ensure their continuous performance. Keep up to date with industry trends, technologies, and best practices in AI and ML, specifically within the finance industry. Qualifications Education: Bachelor’s/Master’s degree in Computer Science, Data Science, Engineering, or related field. Certifications: Relevant certifications in Data Science, Azure AI, or Machine Learning is a plus. Technical Skills Expertise in Machine Learning (ML) algorithms (Supervised and Unsupervised). Strong experience with Azure Fabric and related Azure cloud services. Proficient in Python, R, and data science libraries (Pandas, Scikit-learn, TensorFlow). Experience in AI and Deep Learning models, including neural networks. Working knowledge of big data technologies such as Spark, Hadoop, and Databricks. Familiarity with SQL and NoSQL databases. Experience with version control systems (Git, GitHub, etc.). Soft Skills Excellent problem-solving and analytical skills. Strong communication skills, with the ability to present complex data insights clearly to non-technical stakeholders. Ability to work effectively in a collaborative, cross-functional environment. Strong attention to detail and ability to manage multiple tasks simultaneously. A passion for continuous learning and staying updated on new technologies. Good to Have Experience in the banking or financial services industry. Familiarity with DevOps practices for ML/AI model deployment. Knowledge of cloud-native architecture and containerization (Docker, Kubernetes). Familiarity with Deep Learning and Natural Language Processing (NLP) techniques. Work Experience 8-12 years of experience in Data Science, with hands-on experience in ML, AI, and working within the finance or banking industry. Proven track record of designing and deploying machine learning models and working with Azure Fabric. Experience with client-facing roles and delivering solutions that impact business decision-making. Compensation & Benefits Competitive salary and annual performance-based bonuses Comprehensive health and optional Parental insurance. Retirement savings plans and tax savings plans. Work-Life Balance: Flexible work hours KRA (Key Result Areas) Timely and effective delivery of ML/AI models that solve complex business problems. Continuous improvement and optimization of deployed models. High-quality insights and data-driven solutions delivered for business stakeholders. Client satisfaction with AI/ML solutions implemented within the banking domain. KPI (Key Performance Indicators) Number of successful ML/AI models deployed and their performance post-deployment. Model accuracy and predictive capability (based on business goals). Client feedback on AI-driven solutions. Completion time for delivering actionable data-driven insights. Team collaboration and mentoring effectiveness with junior data scientists. Contact: hr@bigtappanalytics.com

Job Title: Senior Data Engineer Location: Hyderabad, Chennai & Bangalore Experience: 5+ Years Job Summary We are looking for a highly skilled and experienced Senior Data Engineer to join our growing data engineering team. The ideal candidate will have a strong background in building and optimizing data pipelines and data architecture, as well as experience with big data technologies and Azure cloud services. You will work closely with cross-functional teams to ensure data is accessible, reliable, and ready for analytics and business insights. Mandatory Skills Advanced SQL Python or Scala for data engineering ETL pipeline development Cloud platforms (AWS/GCP/Azure) Azure 1st party services (ADF, Azure Databricks, Synapse, etc.) Big data tools (Spark, Hadoop) Data warehousing (Redshift, Snowflake, Big Query) Workflow orchestration tools (Airflow, Prefect, or similar) Key Responsibilities Design, develop, and maintain scalable and reliable data pipelines Demonstrate experience and leadership across two full project cycles using Azure Data Factory, Azure Databricks, and PySpark Collaborate with data analysts, scientists, and software engineers to understand data needs Implement data quality checks and monitoring systems Optimize data delivery and processing across a wide range of sources and formats Ensure security and governance policies are followed in all data handling processes Evaluate and recommend tools and technologies to improve data engineering capabilities Lead and mentor junior data engineers as needed Work with cross-functional teams in a dynamic and fast-paced environment Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or related field Certification in cloud platforms or big data technologies (preferred) 5+ years of data engineering experience Technical Skills Programming: Python, Scala, SQL Big Data: Spark, Hadoop, Hive Stream Processing: Storm, Spark Streaming Data Warehousing: Snowflake, Big Query, Redshift Cloud: AWS (S3, Lambda, Glue), GCP, Azure (ADF, Azure Databricks) Orchestration: Apache Airflow, Prefect, Luigi Databases: PostgreSQL, MySQL, NoSQL (MongoDB, Cassandra) Tools: Git, Docker, Kubernetes (basic), CI/CD Soft Skills Strong problem-solving and analytical thinking Excellent verbal and written communication Ability to manage multiple tasks and deadlines Collaborative mindset with a proactive attitude Strong analytic skills related to working with unstructured datasets Good to Have Experience with real-time data processing (Kafka, Flink) Knowledge of data governance and privacy regulations (GDPR, HIPAA) Familiarity with ML model data pipeline integration Work Experience Minimum 5 years of relevant experience in data engineering roles Experience with Azure 1st party services across at least two full project lifecycles Compensation & Benefits Competitive salary and annual performance-based bonuses Comprehensive health and optional Parental insurance. Retirement savings plans and tax savings plans. Work-Life Balance: Flexible work hours Key Result Areas (KRAs) Timely development and delivery of high-quality data pipelines Implementation of scalable data architectures Collaboration with cross-functional teams for data initiatives Compliance with data security and governance standards Key Performance Indicators (KPIs) Uptime and performance of data pipelines Reduction in data processing time Number of critical bugs post-deployment Stakeholder satisfaction scores Successful data integrations and migrations Contact: hr@bigtappanalytics.com