Data Integration Jobs in Bangalore

AI Build Engineer

RLE India Private Limited•

Bengaluru

+2 More

Other Locations2 cities

Chennai

Hyderabad

•full time

Job Summary We are seeking a skilled and experienced AI Build Engineer to join our dynamic team. This role will be responsible for building and deploying cutting-edge AI solutions, leveraging a variety of technologies and methodologies. The ideal candidate will possess a strong foundation in software engineering principles and a passion for AI innovation. Key Responsibilities The AI Build Engineer will be responsible for the design, development, and implementation of AI applications. This includes collaborating with cross-functional teams to define requirements, designing and building robust and scalable AI solutions, and ensuring the quality and reliability of deployed AI models. The role also involves continuous monitoring and optimization of AI systems to ensure peak performance and alignment with business objectives. Required Skills & Qualifications Programming Languages: Proficiency in multiple programming languages including Python , JavaScript , TypeScript , and C# . This includes the ability to write clean, efficient, and well-documented code. Large Language Models (LLMs): A strong understanding of LLMs and their application in various use cases. Retrieval-Augmented Generation (RAG): Experience with RAG techniques to enhance the capabilities of LLMs . Prompt Engineering: Expertise in Prompt Engineering to design effective prompts for LLMs . Vector Databases: Familiarity with Vector Databases and their use in storing and retrieving vector embeddings. Agentic AI: Knowledge of Agentic AI principles and their application in building autonomous agents. Cloud Platforms: Experience with cloud platforms such as Azure and AWS , including Azure AI Services , Azure OpenAI , AWS Bedrock , and Vertex AI . Containerization & Orchestration: Proficiency in Docker and Kubernetes for containerizing and orchestrating AI applications. DevOps & CI/CD: Experience with DevOps practices and CI/CD pipelines using tools like GitHub Actions and Azure DevOps . MLOps: Understanding of MLOps principles and best practices for managing the ML lifecycle. AI Application Integration: Ability to integrate AI applications into existing systems and workflows. Testing & Monitoring: Experience with AI-infused testing , Monitoring , and Observability tools and techniques. Governance: Understanding of Governance principles related to AI systems. API & Microservices: Experience with API development and Microservices architectures. Additional Skills: Familiarity with MCP , Playwright , and AI copilots . Qualifications: Possession of AI/Cloud certifications such as Azure AI Engineer or AWS ML is highly desirable. Experience Required: We are seeking candidates with 5-10 years of relevant experience in software engineering and AI development. This level of experience should demonstrate a proven ability to design, build, and deploy complex AI solutions in a production environment. What We Offer The role is onsite .

Azure Cloud & Data ETL Developer

SACHA Engineering•

Bengaluru

•full time

Job Summary We are seeking a skilled and experienced Azure Cloud & Data ETL Developer to join our dynamic IT / Technology team. This is a hybrid role, offering a blend of remote work and in-office collaboration. The ideal candidate will possess a strong background in data engineering, cloud technologies, and ETL/ELT development, with a focus on the Azure ecosystem. Key Responsibilities The Azure Cloud & Data ETL Developer will be responsible for designing, developing, and maintaining robust and scalable data pipelines and solutions within the Azure cloud environment. This includes data ingestion, transformation, and loading processes, ensuring data quality, and adhering to data governance principles. The role also involves collaborating with cross-functional teams to understand data requirements and deliver effective solutions. Required Skills & Qualifications Azure Data Services: Demonstrated proficiency in utilizing various Azure data services, including Azure Data Factory (ADF) , Azure Databricks , and Azure Synapse Analytics , to build and manage data pipelines. ETL Development: Extensive experience in ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) development, including designing and implementing data integration solutions. Hybrid Data Architectures: A strong understanding of hybrid data architectures , enabling seamless data flow between on-premises and cloud environments. Cloud Migration: Experience in migrating data and applications to the Azure cloud platform. Data Engineering: Solid foundation in Data Engineering principles and practices. Data Modeling: Expertise in data modeling techniques, including the design and implementation of star schemas and snowflake schemas . Data Warehousing Concepts: A thorough understanding of data warehousing concepts and best practices. Programming Languages: Proficiency in Python and PySpark for data manipulation and processing. Data Ingestion & Integration: Experience with data ingestion and data integration processes, ensuring data accuracy and consistency. Data Quality & Governance: Knowledge of data quality and data governance principles and practices. DevOps & CI/CD: Experience with DevOps practices, including CI/CD (Continuous Integration/Continuous Delivery) pipelines, utilizing tools like Azure DevOps and GitHub Actions . Agile Methodology: Familiarity with Agile development methodologies. Performance Tuning & Indexing: Ability to perform performance tuning and indexing to optimize data query performance. Data Validation: Experience in implementing data validation processes to ensure data integrity. Azure Data Lake Storage (ADLS): Experience working with Azure Data Lake Storage (ADLS) . Communication Skills: Excellent communication skills , both written and verbal, to effectively collaborate with stakeholders. Problem-Solving Skills: Strong problem-solving skills to identify and resolve data-related issues. Gemini AI: Familiarity with Gemini AI and its applications in data processing. Experience Required: 6 - 10 years of relevant experience in data engineering and cloud development. This level of seniority requires a proven track record of designing and implementing complex data solutions, leading projects, and mentoring junior team members. What We Offer Salary: 18 LPA

SOFTWARE ENGINEER - MCAD/DESIGN AUTOMATION

SACHA Engineering•

Bengaluru

•full time

Job Summary We are seeking an experienced and skilled Software Engineer - MCAD/Design Automation to join our team on-site. As a Software Engineer, you will be responsible for developing and implementing design automation solutions using CAD software and programming languages. The ideal candidate will have a strong background in mechanical engineering and proficiency in CAD automation, programming languages, and software development principles. The successful candidate will be responsible for designing, developing, and testing software applications that automate design tasks, improve productivity, and enhance overall design quality. This role requires a deep understanding of mechanical engineering principles, CAD software, and programming languages, as well as excellent problem-solving skills and the ability to communicate complex ideas effectively. Key Responsibilities Develop and implement design automation solutions using CAD software and programming languages such as C++, C#, and VB.Net. Customize and automate CAD software using Siemens NX CAD Software and NX Open/UFunc API. Create and maintain software applications that improve productivity and design quality. Collaborate with cross-functional teams to identify design automation opportunities and implement solutions. Develop and maintain data structures and algorithms to support design automation applications. Integrate CAD software with other systems such as PLM Systems, SAP/ECTR, and Database Systems using API Integration. Utilize version control systems such as Team Foundation Server to manage code changes and collaborate with team members. Troubleshoot and resolve technical issues related to design automation applications. Participate in code reviews and contribute to the improvement of the overall quality of the codebase. Required Skills & Qualifications The ideal candidate will have a Bachelor's degree in Mechanical Engineering and 3-5 years of experience in CAD automation and software development. The successful candidate will possess a strong foundation in the following skills: CAD Automation: Experience with automating CAD tasks using programming languages and CAD software. Mechanical Engineering: Knowledge of mechanical engineering principles and practices. Object-Oriented Programming (OOP): Proficiency in OOP concepts and programming languages such as C++, C#, and VB.Net. Design Patterns: Understanding of design patterns and principles. API Integration: Experience with integrating CAD software with other systems using APIs. CAD Customization: Ability to customize CAD software using Siemens NX CAD Software and NX Open/UFunc API. Assembly, Modeling, and Drawing: Knowledge of CAD assembly, modeling, and drawing techniques. Data Structures and Algorithms: Understanding of data structures and algorithms. Cutting Tools and PLM Systems: Familiarity with cutting tools and PLM systems such as SAP/ECTR. Version Control Systems: Experience with version control systems such as Team Foundation Server. Database Systems: Knowledge of database systems and SQL. Analytical Skills, Logical Thinking, and Problem-Solving Skills: Strong analytical, logical thinking, and problem-solving skills. Communication Skills: Excellent communication skills to effectively convey complex ideas. What We Offer As a Software Engineer - MCAD/Design Automation, you will have the opportunity to work on exciting projects, collaborate with cross-functional teams, and develop your skills in a dynamic and innovative environment.