Data Engineer at Top Management Consulting Company · Gurugram, Bengaluru (Bangalore) · 2 - 9 years · Posted 22 Mar 2023

We are looking out for a technically driven "Full-Stack Engineer" for one of our premium client
COMPANY DESCRIPTION:
Qualifications
• Bachelor's degree in computer science or related field; Master's degree is a plus
• 3+ years of relevant work experience
• Meaningful experience with at least two of the following technologies: Python, Scala, Java
• Strong proven experience on distributed processing frameworks (Spark, Hadoop, EMR) and SQL is very
much expected
• Commercial client-facing project experience is helpful, including working in close-knit teams
• Ability to work across structured, semi-structured, and unstructured data, extracting information and
identifying linkages across disparate data sets
• Confirmed ability in clearly communicating complex solutions
• Understandings on Information Security principles to ensure compliant handling and management of
client data
• Experience and interest in Cloud platforms such as: AWS, Azure, Google Platform or Databricks
• Extraordinary attention to detail

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Job Description – Java Full Stack Developer
Experience: 8–12 Years
Location: Bangalore
Role Overview
We are looking for an experienced Java Full Stack Developer with strong hands-on expertise in Java, modern web development, AI/Generative AI, APIs, workflow orchestration, CI/CD, observability, and production support.
Key Responsibilities
- Design, develop, and maintain scalable full-stack applications using Java and modern web technologies.
- Develop backend services and microservices using Java, Spring Boot, and REST APIs.
- Build and integrate modern frontend applications using React, Angular, or similar technologies.
- Integrate AI / Generative AI / LLM capabilities into enterprise applications.
- Develop and manage workflow orchestration and process automation solutions.
- Design and integrate APIs with internal and external systems.
- Implement and maintain CI/CD pipelines for automated build, testing, and deployment.
- Implement observability through monitoring, logging, metrics, and tracing.
- Identify and remediate security vulnerabilities across applications and dependencies.
- Troubleshoot issues and provide production support, including root-cause analysis and resolution.
- Participate in code reviews and ensure adherence to engineering, security, and development best practices.
Mandatory Skills
- Strong hands-on experience in Java & Spring Boot
- Full Stack Development with React / Angular or similar
- Microservices & REST APIs
- AI / Generative AI / LLM integration
- Workflow orchestration / process automation
- CI/CD
- Application observability & monitoring
- Vulnerability remediation & secure coding
- Production support & troubleshooting
- Strong understanding of software development lifecycle and design patterns
Experience: 8–12 Years | Location: Bangalore | Joining: Immediate
Role Overview
We are looking for enthusiastic and driven freshers who are passionate about building real-world solutions using Python, Artificial Intelligence/Machine Learning, and Full Stack Development. This opportunity is designed for candidates who are eager to learn, experiment, and grow in a fast-paced, hands-on environment.
Training & Evaluation Period
- Initial Unpaid training period of 3 months, extendable up to 6 months based on individual performance (Its completely unpaid and no Stipend is provided)
- This phase focuses on practical learning, project exposure, and skill development
- Continuous evaluation based on technical skills, problem-solving, consistency, and ownership
Full-Time Conversion
- Full-time offer based on performance
- Compensation aligned with demonstrated skills and contribution
- High-performing candidates can expect strong growth opportunities and competitive salary
Key Responsibilities
- Work on real-time AI/ML and application development projects
- Contribute to full stack development (frontend and backend)
- Write clean, scalable code using Python and modern frameworks
- Collaborate with team members to build and deploy solutions
- Continuously learn and apply new technologies
Required Skills
- Basic understanding of Python
- Knowledge of AI/ML concepts
- Familiarity with full stack technologies (HTML, CSS, JavaScript, backend basics)
- Strong problem-solving skills
- Willingness to learn and adapt
Important Notice
• There are no fees involved, no bond
• Also, the training is completely unpaid
4 - 10 years of experience in designing and buildingarchitecting highly resilient data platforms
∙Strong knowledge of data engineering, architecture and data modeling
∙Experience in platforms like Databricks and Snowflake
∙Experience on building applications on cloud (AWS or Azure or Google Cloud)
∙Strong analytical and problem-solving skills
∙Prior experience in developing data or computation intensive (e.g. grid based) backend applications is an
advantage
∙OOP design skills with an understanding or at least personal interest towards the concepts of Functional
Programming
∙Willingness to understand and enhance other people’s code, being able to work in an environment where
developers will oversee and work on wider components also dealing with older “legacy” code
∙Strong programming skills (Java/ Scala / Python) skills with the willingness to pick up the other language if not
already mastered at a sufficient level is important
∙Spring knowledge is an advantage, but in general willingness to learn, work with and even enhance in-house
developed frameworks is a must
∙Prior experience in working with Git, Bitbucket, Jenkins, working with PR-s, using JIRA, following the Scrum Agile
methodology is an advantage
∙Prior knowledge of financial products is an advantage
∙Bachelors or Masters in any relevant field of IT/Engineering area is an advantage
Job Description
We are hiring a Java Full Stack Developer with 6 years of experience in building scalable web applications. The ideal candidate should have strong expertise in Java backend development along with React for frontend development.
Mandatory Skills
- Java
- Spring Boot
- Microservices
- React
- REST APIs
- SQL/Relational Databases
- Strong understanding of Object-Oriented Programming (OOP)
Responsibilities
- Design, develop, and maintain full-stack applications
- Build and enhance RESTful APIs using Spring Boot and Microservices
- Develop responsive UI components using React
- Collaborate with cross-functional teams to deliver high-quality solutions
- Troubleshoot, debug, and optimize application performance
Requirements
- 6 years of relevant experience in Java Full Stack Development
- Strong hands-on experience with Java, Spring Boot, Microservices, and React
- Good analytical, problem-solving, and communication skills
Company Description
TECHSOPHY specializes in productizing solutions based on new technology, focusing on emerging platforms of BPM & ECM, Low Code, AI (ML/RPA/NLP). Founded in 2009, TECHSOPHY operates with headquarters in California, USA, and regional offices in Dubai, UAE, and an offshore innovation center in Hyderabad, India.
Qualifications
- Solid Fundamentals and exceptional problem-solving skills
- Solid and fluent understanding of algorithms and data structures
- Proficiency in Scala + Spark
- Proficiency in Scala + Play framework
- Experience Range: 4 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, MapReduce, and the Hadoop ecosystem is a must-have
- Experience with data analytics and the ability to mine data to obtain insights are much appreciated
Java Full Stack Developer
Experience
5–8 Years (can be adjusted based on requirement)
Required Skills
Backend (40%)
- Strong experience in Java 8/11/17
- Hands-on experience with Spring Boot
- Good knowledge of Microservices Architecture
- Experience in developing and consuming REST APIs
- Familiarity with Spring Data JPA/Hibernate
- Understanding of authentication mechanisms such as JWT/OAuth
- Experience with SQL databases (MySQL, PostgreSQL, Oracle, etc.)
- Knowledge of Git, Maven/Gradle, and CI/CD practices is preferred
Frontend (60%)
- Strong experience in Angular (v10 or above preferred)
- Proficiency in TypeScript, HTML5, CSS3, JavaScript
- Experience with Angular Components, Services, Routing, RxJS, Forms, and State Management
- Knowledge of responsive UI development and REST API integration
- Experience with Angular Material or Bootstrap is an advantage
Responsibilities
- Develop and maintain scalable web applications using Java and Angular.
- Design and implement RESTful APIs using Spring Boot and Microservices.
- Build responsive and user-friendly interfaces using Angular.
- Collaborate with cross-functional teams to design, develop, test, and deploy applications.
- Troubleshoot, optimize, and enhance application performance.
- Participate in code reviews and follow coding standards and best practices.
Preferred Skills
- Experience with Docker and Kubernetes.
- Exposure to cloud platforms such as AWS, Azure, or GCP.
- Knowledge of Agile/Scrum methodologies.
- Familiarity with SonarQube, Jenkins, or other DevOps tools.
Skill Split
- Java, Spring Boot & Microservices: 40%
- Angular: 60%
Job Summary
We are looking for an experienced Java Full Stack Developer with strong hands-on experience in Java, Spring Boot, and Angular. The candidate will be responsible for developing scalable applications, building responsive user interfaces, developing REST APIs, and collaborating with cross-functional teams throughout the software development lifecycle.
Key Skills
- Java
- Spring Boot
- Angular
- RESTful APIs
- Microservices
- HTML, CSS, JavaScript/TypeScript
- SQL / Database
- Git
- Agile/Scrum
- Unit Testing
- CI/CD and DevOps practices
Roles & Responsibilities
- Design, develop, test, and maintain scalable full-stack applications using Java, Spring Boot, and Angular.
- Develop responsive and user-friendly front-end applications using Angular, TypeScript, HTML, and CSS.
- Design and develop RESTful APIs and microservices using Java and Spring Boot.
- Integrate Angular applications with backend services and APIs.
- Write clean, reusable, maintainable, and efficient code following coding standards and best practices.
- Work with relational databases and develop efficient SQL queries.
- Perform unit testing, debugging, and troubleshooting of application issues.
- Participate in code reviews and contribute to improving application quality and performance.
- Collaborate with business analysts, architects, QA engineers, and other development teams to deliver application features.
- Participate in Agile/Scrum ceremonies including sprint planning, daily stand-ups, reviews, and retrospectives.
- Troubleshoot production issues and provide timely fixes and technical support.
- Work with Git and CI/CD tools as part of the software development lifecycle.
- Contribute to application performance, scalability, security, and reliability improvements.
Required Qualifications
- 4.5 to 8 years of hands-on experience in Full Stack Java Development.
- Strong experience in Core Java and Spring Boot.
- Strong hands-on experience with Angular and TypeScript.
- Good understanding of REST APIs and Microservices architecture.
- Experience with SQL and relational databases.
- Good understanding of software development and testing practices.
- Strong problem-solving and communication skills.
- Experience working in an Agile development environment.
Preferred Skills
- Experience with cloud platforms such as AWS or Azure.
- Knowledge of Docker/Kubernetes.
- Experience with CI/CD tools.
- Knowledge of automated testing frameworks.
- Exposure to performance and application security best practices.
About the Role
We are looking for a Forward Deployed Engineer with strong hands-on experience in Databricks and AI-assisted software development using Cursor. The role is suited for an engineer who can work directly with clients and internal teams to understand business problems, rapidly build solutions, and take them from prototype to production.
The ideal candidate should have strong expertise in Python, SQL, Databricks, PySpark, data engineering, APIs, and modern AI-assisted development workflows, along with excellent problem-solving and client-facing skills.
Key Responsibilities
Forward Deployed Engineering
- Work directly with clients and stakeholders to understand business and technical requirements.
- Translate business problems into scalable technical and data solutions.
- Rapidly prototype, test, iterate, and productionize solutions.
- Collaborate with engineering, data, AI, and delivery teams to implement customer solutions.
- Troubleshoot production issues and continuously improve deployed solutions.
- Act as a technical bridge between clients and internal engineering teams.
Databricks & Data Engineering
- Design and develop scalable data solutions using Databricks, PySpark, Python, and SQL.
- Build and optimize ETL/ELT and data processing pipelines.
- Work with Databricks Lakehouse, Delta Lake, Unity Catalog, and Databricks Workflows.
- Develop data ingestion and transformation pipelines for structured and semi-structured data.
- Optimize Databricks workloads for performance, scalability, reliability, and cost.
- Integrate Databricks with databases, APIs, cloud platforms, and enterprise applications.
Cursor & AI-Assisted Development
- Use Cursor and AI-assisted development workflows to accelerate software development, debugging, refactoring, and documentation.
- Effectively use AI coding assistants to understand existing codebases and develop new features.
- Apply appropriate engineering judgment to review, validate, test, and secure AI-generated code.
- Use AI-assisted development for rapid prototyping and proof-of-concept development.
- Work with modern AI/LLM APIs and tools where required for customer solutions.
- Stay current with emerging AI-assisted software engineering practices.
Production & Deployment
- Develop production-ready applications, APIs, and data pipelines.
- Work with Git, CI/CD, APIs, containers, and cloud environments.
- Monitor application and pipeline performance and resolve production issues.
- Ensure solutions meet requirements for scalability, security, reliability, and maintainability.
- Collaborate with Data Scientists and ML Engineers to integrate AI/ML capabilities into production systems.
Required Skills & Experience
- 4+ years of experience in Software Engineering, Data Engineering, AI Engineering, or a related field.
- Strong hands-on experience with Databricks.
- Strong proficiency in Python, PySpark, and SQL.
- Experience with Delta Lake and Lakehouse architecture.
- Experience building production-grade data pipelines.
- Hands-on experience with Cursor or similar AI-powered coding assistants.
- Strong understanding of REST APIs and system integrations.
- Experience working with cloud platforms such as AWS, Azure, or GCP.
- Strong debugging, problem-solving, and analytical skills.
- Excellent communication and client-facing abilities.
Preferred Skills
- Experience with Databricks Unity Catalog, Workflows, and MLflow.
- Experience with Generative AI / LLM applications.
- Knowledge of Claude, OpenAI, Azure OpenAI, or other LLM platforms.
- Experience with RAG, vector databases, embeddings, or AI agents.
- Experience with Docker, Kubernetes, and CI/CD.
- Experience in a consulting, customer-facing engineering, or professional services environment.
- Exposure to Agile/Scrum methodologies.
Key Competencies
- Strong problem-solving and ownership mindset
- Ability to work in ambiguous and fast-paced environments.
- Strong client/stakeholder management skills.
- Ability to understand business requirements and convert them into technical solutions.
- Strong communication and presentation skills.
- Ability to rapidly learn new technologies and tools.
- Comfortable working with AI-assisted development while maintaining high engineering standards.
Education
- Bachelor's or master’s degree in computer science, Information Technology, Engineering, Data Science, or a related discipline.
Senior Software Engineer (Full Stack)
Location: Bangalore / Chennai / Pune / Hyderabad
Experience: 7+ Years
Notice Period: Immediate Joiner
Job Summary:
We are looking for a Senior Software Engineer with strong Full Stack development expertise in Streamlit, Python FastAPI, Databricks, and Databricks Apps. The ideal candidate will build data-driven web applications and deploy scalable solutions within the Databricks ecosystem.
Key Responsibilities:
- Design and develop interactive applications using Streamlit.
- Build scalable backend services and APIs using Python FastAPI.
- Develop and optimize data solutions on Databricks.
- Deploy and manage applications using Databricks Apps (Mandatory).
- Integrate front-end applications with backend APIs and data services.
- Collaborate with data engineers, data scientists, and business teams.
- Ensure application performance, reliability, and security.
- Participate in code reviews, testing, and release management activities.
Required Skills:
- 7+ years of software development experience.
- Strong experience with Python programming.
- Hands-on expertise in FastAPI.
- Experience developing applications using Streamlit.
- Strong Databricks development experience.
- Mandatory experience with Databricks Apps deployment and management.
- Experience with REST APIs and microservices architecture.
- Familiarity with Git, CI/CD pipelines, and Agile methodologies.
Preferred Skills:
- Experience with Azure Databricks.
- Knowledge of AI/ML application development.
- Understanding of cloud-native architectures.
- Front End: Streamlit
- Middleware: Python FastAPI
- Backend: Databricks
- Hosting Environment: Databricks Apps (Mandatory)
We are looking for a skilled Python & PySpark Developer with strong expertise in Big Data technologies, Spark, SQL/PL-SQL, and REST API development using Flask or Django. The ideal candidate should have experience building scalable data pipelines, processing large datasets, developing APIs, and working with distributed computing frameworks.
Key Responsibilities
- Develop, optimize, and maintain scalable data pipelines using PySpark and Apache Spark.
- Design, develop, and optimize complex SQL and PL/SQL queries, stored procedures, functions, and database objects.
- Build and maintain RESTful APIs using Flask or Django.
- Develop robust Python applications for data engineering and backend services.
- Process and analyze large-scale datasets using Big Data technologies.
- Optimize Spark jobs for performance, scalability, and reliability.
- Integrate APIs with internal and external systems.
- Collaborate with cross-functional teams including Data Engineers, Data Scientists, and Application Developers.
- Troubleshoot production issues and implement performance improvements.
- Follow coding standards, version control, and CI/CD best practices.
Mandatory Skills
- Strong proficiency in Python programming.
- Hands-on experience with PySpark and Apache Spark.
- Strong SQL coding skills.
- Experience with PL/SQL development.
- Experience in Big Data ecosystem.
- REST API development using Flask or Django.
- Experience in developing and consuming Python APIs.
- Knowledge of data processing, ETL, and distributed computing.
- Experience with Git/version control.
Preferred Skills
- Experience with Hadoop ecosystem (Hive, HDFS, YARN).
- Exposure to cloud platforms such as AWS, Azure, or GCP.
- Knowledge of Airflow or other workflow orchestration tools.
- Experience with Docker and Kubernetes.
- Familiarity with Kafka or other streaming technologies.
- Understanding of CI/CD pipelines.
Qualifications
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- 4–8+ years of experience in Python and Big Data development (can be adjusted based on the role).
Required Experience
- Strong hands-on experience in Python, PySpark, and Apache Spark.
- Extensive experience writing optimized SQL and PL/SQL code.
- Experience developing REST APIs using Flask or Django.
- Experience working with large-scale data processing and ETL pipelines.
- Strong analytical, debugging, and problem-solving skills.
Mandatory Skills: Python, PySpark, SQL Coding, Apache Spark, Big Data, Flask/Django (REST API), PL/SQL, Python APIs.







