VITS US

Qualifications: Bachelors degree and Ten (10) + years experience in Information Technology, including minimum five (5) years experience in hands on C/C++ programming preferably on POS systems. Basic knowledge of SQL queries is a plus. Ability to quickly learn and practically apply new concepts or principles, which can be confirmed by prior experience. Experience utilizing Agile SCRUM development process. Ability to interact well with user base, development teams and other technical teams. Ability to diagnose and resolve issues/problems in aggressive timeframes. Strong work ethic and ability to handle high pressure situations with minimum direction. Team player, with proven ability to work under pressure and within tight deadlines. Ability to multi-task and prioritize workload effectively. Responsibilities: Provides technical advice on complex programming. Expertise in programming in C/C++. Experience working with POSIX message queues and multithreaded applications. Knowledge of Unix shell scripting/Perl. Working with relevant users and development managers, define the requirements for a particular software release Write technical design specifications for the relevant software. Debug and troubleshoot new as well as existing code. Work closely with QA and Operations staff to ensure smooth roll-out of new releases. Providing production support for daily, weekly and monthly production processes. Assists support and/or project personnel in resolving moderately complex program problems. Works with client and management to resolve issues and validate programming requirements within their areas of responsibility. Develops test plans to verify logic of new or modified programs. Conducts quality assurance activities such as peer reviews.

Big Data Engineer Location: Irving, TX Job Type: Full-Time (Hybrid) Experience: 7+ Years F2F Interview Job Summary We are seeking an experienced Big Data Engineer with 7+ years of professional experience in designing, developing, and implementing scalable data solutions. The ideal candidate will have strong hands-on experience with Hadoop, Spark, PySpark, Kafka, Hive, SQL, and cloud-based data platforms. The candidate will be responsible for building high-performance data pipelines, processing large and complex datasets, and working closely with data scientists, analysts, application developers, and business stakeholders. Key Responsibilities Design, develop, and maintain scalable Big Data pipelines and data processing solutions. Develop batch and real-time data processing applications using Apache Spark/PySpark. Build and optimize ETL/ELT pipelines for large-scale data processing. Work with Hadoop, HDFS, Hive, Spark, Kafka, and other Big Data technologies. Develop complex SQL queries and optimize data processing jobs for performance. Design data ingestion and transformation processes from multiple structured and unstructured sources. Develop real-time streaming pipelines using Kafka and Spark Streaming. Perform data cleansing, transformation, validation, and quality checks. Troubleshoot data pipeline failures and optimize jobs for scalability and reliability. Work with cloud-based data platforms and storage services. Collaborate with data architects, data scientists, analysts, and engineering teams. Implement data security, governance, and access-control best practices. Participate in code reviews, testing, deployment, and production support. Contribute to Agile/Scrum development activities and technical documentation. Required Skills 7+ years of experience in Big Data Engineering Strong hands-on experience with Apache Spark and PySpark Strong programming experience with Python and/or Scala Strong SQL skills and experience with relational databases Hands-on experience with Hadoop, HDFS, Hive, and MapReduce Experience with Apache Kafka and real-time data processing Strong experience building ETL/ELT data pipelines Experience with data ingestion, transformation, and processing of large datasets Knowledge of distributed computing and Big Data architecture Experience with data warehouse/data lake concepts Experience with Git and CI/CD Strong troubleshooting and performance-tuning skills Cloud & Modern Data Technologies Experience with one or more of the following is highly preferred: AWS: S3, EMR, Glue, Redshift, Lambda Azure: ADLS, Databricks, Azure Data Factory, Synapse GCP: BigQuery, Dataproc, Cloud Storage Databricks Snowflake Preferred Qualifications Experience developing both batch and streaming data pipelines. Experience with Apache Airflow or similar workflow orchestration tools. Knowledge of data modeling and data warehousing concepts. Experience with Docker/Kubernetes is a plus. Understanding of data governance, security, and data quality frameworks. Experience working in Agile/Scrum environments. Strong communication and analytical problem-solving skills.

Position Overview Note : CST or EST time zones only (Fulltime) We are seeking an experienced Lead Java React Developer with 11+ years of software development experience to lead the design and development of scalable, high-performance enterprise applications. The ideal candidate will be a strong hands-on technical leader with deep expertise in Java, Spring Boot, Microservices, and React.js, along with experience in system design, architecture, mentoring, and technical leadership. Position Details Job Title: Lead Java React Developer Experience: 11+ Years Employment Type: Full-Time / Permanent Work Location: Remote USA Time Zone: Candidates must be available to work in CST or EST time zones only Work Model: 100% Remote Key Responsibilities Lead the design, development, and delivery of enterprise-scale applications. Develop scalable backend services using Java, Spring Boot, and Microservices. Design and develop modern, responsive front-end applications using React.js. Build and integrate RESTful APIs and backend services. Provide technical leadership and guidance to development teams. Participate in architecture and system-design discussions. Conduct code reviews and establish coding and development best practices. Mentor junior and mid-level developers. Identify and resolve complex technical and production issues. Drive application performance, scalability, security, and reliability improvements. Collaborate with Product Managers, Architects, QA, DevOps, and other stakeholders. Participate in Agile/Scrum ceremonies and contribute to sprint planning and estimation. Ensure high-quality, maintainable, and reusable code throughout the development lifecycle. Required Technical Skills Backend 11+ years of professional software development experience. Strong hands-on experience with Java / J2EE. Advanced Spring Boot, Spring Framework, and Spring MVC. Strong experience designing and developing Microservices. Excellent knowledge of REST APIs and Web Services. Strong understanding of Object-Oriented Programming and Design Patterns. Frontend Strong hands-on experience with React.js. Strong JavaScript / TypeScript skills. HTML5, CSS3, responsive UI development. Experience with React components, hooks, state management, and API integration. Database & Data Strong SQL skills. Experience with relational databases such as Oracle, PostgreSQL, or MySQL. Knowledge of NoSQL databases is a plus. Cloud & DevOps Experience with AWS, Azure, or GCP. Git and modern source-control practices. CI/CD tools and automated deployment pipelines. Experience with Docker and Kubernetes is preferred. Technical Leadership Proven experience leading development teams or serving as a technical lead. Ability to make sound technical and architectural decisions. Strong problem-solving and debugging skills. Experience mentoring developers and conducting code reviews. Ability to translate business requirements into scalable technical solutions. Preferred Qualifications Bachelor's degree in Computer Science, Engineering, or a related field. Experience working on large-scale enterprise applications. Strong understanding of application security, scalability, and performance optimization. Excellent written and verbal communication skills. Ability to work independently in a fully remote environment.