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TechSophy Reviews by Employees

Associate Software Engineer

Software Developer

Software Engineer

Technical Lead

Role Description : We are engineering partners for Client development team in India & US. Our engineers work with Client engineering team to build highly scalable and highly performing applications on top of Client platform in addition to building platform components. Your code will be running on a big data environment with 10K+ nodes and data running into few peta bytes. Qualifications : - Solid Fundamentals and exceptional problem solving skills - Solid and fluent understanding of algorithm and data structures - Proficiency in Scala + Spark or Scala + Play - Experience Range: 3 to 7 Years - Requirement Some or all of them - because we believe intelligent people can pick up whatever they need in a short period of time. You just need to prove that you can : - Excellent programming skills and knowledge of Java / Scala - Excellent software design, problem solving and debugging skills - Experience with modern Big data Technologies such as Spark, NoSql, Cassandra, Kafka, Map Reduce, Hadoop ecosystem is a must have

Others

Techsophy - Big Data Developer - Spark/Scala (3-8 yrs)

Experience : 5+ Years. Role Overview : Responsible for designing, building, and maintaining scalable data pipelines and architectures. This role requires expertise in SQL, ETL frameworks, big data technologies, cloud services, and programming languages to ensure efficient data processing, storage, and integration across systems. Requirements : - Minimum 5+ years of experience as a Data Engineer or similar data-related role. - Strong proficiency in SQL for querying databases and performing data transformations. - Experience with data pipeline frameworks (e.g., Apache Airflow, Luigi, or custom-built solutions). - Proficiency in at least one programming language such as Python, Java, or Scala for data processing tasks. - Experience with cloud-based data services and Datalakes (e.g., Snowflake, Databricks, AWS S3, GCP BigQuery, or Azure Data Lake). - Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka). - Experience with ETL tools (e.g., Talend, Apache NiFi, SSIS, etc.) and data integration techniques. - Knowledge of data warehousing concepts and database design principles. - Good understanding of NoSQL and Big Data Technologies like MongoDB, Cassandra, Spark, Hadoop, Hive. - Experience with data modeling and schema design for OLAP and OLTP systems. - Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). Educational Qualification : - Bachelors/Masters degree in computer science, Information Technology, or a related field.

Hyderabad

Senior Data Engineer - ETL/Hadoop (5-7 yrs)

About the Role: We are looking for a highly skilled and experienced Lead React Native / React JS Developer to join our team. The ideal candidate should be capable of contributing as a hands-on developer and leading a team of frontend engineers. You will be responsible for designing and implementing high-quality mobile and web applications, providing technical leadership, and ensuring best practices in frontend development. Key Responsibilities: - Develop, test, and maintain robust, scalable mobile applications using React Native and web applications using React JS. - Lead architecture discussions and design scalable, maintainable frontend systems. - Mentor and guide a team of frontend developers, conducting code reviews and ensuring adherence to coding standards. - Collaborate with cross-functional teams including Product Managers, UI/UX Designers, and Backend Developers to deliver high-quality solutions. - Act as a technical expert and individual contributor for complex feature development. - Drive best practices in performance, security, testing, and accessibility. - Participate in sprint planning, technical planning, and estimation processes. - Stay up-to-date with the latest industry trends and technologies to ensure we are always using the best tools for the job. Required Skills and Qualifications: - 8+ years of experience in frontend development with strong hands-on expertise in React Native and React JS. - Strong proficiency in JavaScript (ES6+), TypeScript, HTML5, CSS3, and frontend build tools. - Proven experience in mobile app development (iOS/Android) using React Native and deployment in App Store / Play Store. - Solid understanding of REST APIs, JSON, and state management libraries (e.g., Redux, MobX). - Experience with code versioning tools such as Git. - Strong understanding of software development lifecycle and Agile methodologies. - Experience in leading small to mid-sized teams and managing delivery timelines. - Ability to work independently as well as collaborate effectively with the team. Nice to Have: - Familiarity with Native Modules in React Native. - Experience with CI/CD pipelines for mobile apps. - Knowledge of testing frameworks like Jest, React Testing Library, Detox, etc. - Experience with cloud services (e.g., Firebase, AWS, Azure).

Techsophy - Lead React Native/React.js Developer - Web & Mobile Apps (8-10 yrs)

Job Summary : We are looking for a skilled Machine Learning Engineer with 3-6 years of experience who has hands-on expertise in training machine learning models. The ideal candidate should be proficient in data preprocessing, model development, optimization, and deployment while working with large datasets and deep learning frameworks. Key Responsibilities : - Design, develop, and train machine learning models for various business applications. - Preprocess and clean data to ensure high-quality training datasets. - Select appropriate algorithms and frameworks to optimize model performance. - Fine-tune hyperparameters and optimize model accuracy. - Deploy trained models into production environments. - Collaborate with data scientists and software engineers to integrate ML models into applications. - Conduct performance evaluations and implement improvements in model efficiency. - Stay up to date with the latest advancements in machine learning, AI, and deep learning. Required Skills: - Strong expertise in Python and machine learning libraries (TensorFlow, PyTorch, Scikit-learn, etc.). - Hands-on experience in training machine learning models and working with large datasets. - Proficiency in data preprocessing, feature engineering, and model optimization techniques. - Experience with deep learning frameworks and architectures (CNNs, RNNs, Transformers). - Understanding of cloud platforms (AWS, GCP, or Azure) for model deployment. - Familiarity with MLOps practices and tools like MLflow, Kubeflow, or Docker. - Experience in handling real-world datasets and applying machine learning in production. - Strong problem-solving skills and ability to work in a fast-paced environment. Preferred Qualifications : - Experience in Natural Language Processing (NLP) or Computer Vision is a plus. - Familiarity with big data technologies (Hadoop, Spark) is advantageous. - Knowledge of distributed training and optimization techniques.

Techsophy - Machine Learning Engineer - Data Modeling (3-7 yrs)

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