55 Programming Language Jobs - Page 3

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Python (Programming Language) Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. Your typical day will involve collaborating with teams to develop innovative solutions and ensure seamless application functionality. Roles & Responsibilities: - Expected to be an SME - Collaborate and manage the team to perform - Responsible for team decisions - Engage with multiple teams and contribute on key decisions - Provide solutions to problems for their immediate team and across multiple teams - Lead the application development process - Conduct code reviews and ensure coding standards are met - Implement best practices for application security Professional & Technical Skills: - Must To Have Skills: Proficiency in Python (Programming Language) - Strong understanding of software development lifecycle - Experience with database management systems - Knowledge of cloud computing platforms - Hands-on experience with application testing methodologies

Webmethods Developer Experience : 5+ years RELEVANT Location : Bangalore Below are the key items customer are looking for. Need Senior Web Methods developer who have experience in Extensive experience in Trading Networks(more than 6 years) Extensive experience in Salesforce adapter (4 years and above) Experience integrating Web Methods layer with front end applications like ruby on rails Exposure to JDBC configuration and notifications Programming language experience

About the Role We are seeking a highly skilled Senior Azure Data Solutions Architect to design and implement scalable, secure, and efficient data solutions supporting enterprise-wide analytics and business intelligence initiatives. You will lead the architecture of modern data platforms, drive cloud migration, and collaborate with cross-functional teams to deliver robust Azure-based solutions. Key Responsibilities Architect and implement end-to-end data solutions using Azure services (Data Factory, Databricks, Data Lake, Synapse, Cosmos DB Design robust and scalable data models, including relational, dimensional, and NoSQL schemas. Develop and optimize ETL/ELT pipelines and data lakes using Azure Data Factory, Databricks, and open formats such as Delta and Iceberg. Integrate data governance, quality, and security best practices into all architecture designs. Support analytics and machine learning initiatives through structured data pipelines and platforms. Collaborate with data engineers, analysts, data scientists, and business stakeholders to align solutions with business needs. Drive CI/CD integration with Databricks using Azure DevOps and tools like DBT. Monitor system performance, troubleshoot issues, and optimize data infrastructure for efficiency and reliability. Stay current with Azure platform advancements and recommend improvements. Required Skills & Experience Extensive hands-on experience with Azure services: Data Factory, Databricks, Data Lake, Azure SQL, Cosmos DB, Synapse. • Expertise in data modeling and design (relational, dimensional, NoSQL). • Proven experience with ETL/ELT processes, data lakes, and modern lakehouse architectures. • Proficiency in Python, SQL, Scala, and/or Java. • Strong knowledge of data governance, security, and compliance frameworks. • Experience with CI/CD, Azure DevOps, and infrastructure as code (Terraform or ARM templates). • Familiarity with BI and analytics tools such as Power BI or Tableau. • Excellent communication, collaboration, and stakeholder management skills. • Bachelors degree in Computer Science, Engineering, Information Systems, or related field. Preferred Qualifications • Experience in regulated industries (finance, healthcare, etc.). • Familiarity with data cataloging, metadata management, and machine learning integration. • Leadership experience guiding teams and presenting architectural strategies to leadership. Why Join Us? • Work on cutting-edge cloud data platforms in a collaborative, innovative environment. • Lead strategic data initiatives that impact enterprise-wide decision-making. • Competitive compensation and opportunities for professional growth.

Position Name - AWS Cloud Data Engineer Experience - 5- 10 years Work Location - Remote Notice Period - Immediate Joiner Primary Responsibilities Analyze and understand existing data warehouse implementations to support migration and consolidation efforts. Reverse-engineer legacy stored procedures (PL/SQL, SQL) and translate business logic into scalable Spark SQL code within Databricks notebooks. Design and develop data lake solutions on AWS using S3 and Delta Lake architecture, leveraging Databricks for processing and transformation. Build and maintain robust data pipelines using ETL tools with ingestion into S3 and processing in Databricks. Collaborate with data architects to implement ingestion and transformation frameworks aligned with enterprise standards. Evaluate and optimize data models (Star, Snowflake, Flattened) for performance and scalability in the new platform. Document ETL processes, data flows, and transformation logic to ensure transparency and maintainability. Perform foundational data administration tasks including job scheduling, error troubleshooting, performance tuning, and backup coordination. Work closely with cross-functional teams to ensure smooth transition and integration of data sources into the unified platform. Participate in Agile ceremonies and contribute to sprint planning, retrospectives, and backlog grooming Triage, debug and fix technical issues related to Data Lakes Maintain and Manage Code repositories like Git You Must Have: 5+ years of experience working with Databricks , including Spark SQL and Delta Lake implementations. 3 + years of experience in designing and implementing data lake architectures on Databricks. Strong SQL and PL/SQL skills with the ability to interpret and refactor legacy stored procedures. Hands-on experience with data modeling and warehouse design principles. Proficiency in at least one programming language (Python, Scala, Java). Bachelors degree in Computer Science, Information Technology, Data Engineering, or related field. Experience working in Agile environments and contributing to iterative development cycles. Experience working on Agile projects and Agile methodology in general

Position: System Configuration Engineer Experience: 0 to 1 year Qualification: Bachelor's degree in Computer Science, IT, Engineering, or related field. What You'll Do Configuring and delivering turnkey solutions on GraniteStack tailored to client needs. Designing platform schemas, mobile applications, client portals, business rules, and consumer-facing websites. Understanding and implementing workflow rules, automation logic, and business process flows. Writing and optimizing SQL queries for efficient data retrieval, transformation, and updates. Working with APIs to enable seamless data exchange and resolving integration issues. Must-Have Skills: Strong knowledge of SQL and database management. Familiarity with APIs and integration (RESTful APIs preferred). Any programming language knowledge. Analytical and problem-solving abilities. Strong communication and teamwork skills. Able to work at a fast pace, continuously evolving environment and ready to take uphill challenges. Can think out of box to configure complex problems. Future Scope: As the role evolves, you will transition into working on more advanced AI-driven initiatives, including: Training Agentic AI models using real-world business logic and complex workflows. Generating and simulating sophisticated business scenarios to enhance AI model learning. Exploring and evaluating AI models to align with enterprise business use cases. Supporting intelligent, AI-based integrations across systems and platforms. Contributing to AI cloud infrastructure, performance monitoring, and optimization strategies.Role & responsibilities