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Project Role : Custom Software Engineer
Project Role Description : Design, build and configure applications to meet business process and application requirements.
Must have skills : Data Engineering
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformation. We are seeking a StreamSets SME with deep expertise in IBM StreamSets and working knowledge of cloud infrastructure to support ongoing client engagements. The ideal candidate should have a strong data engineering background with hands-on experience in metadata handling, pipeline management, and discovery dashboard interpretation. As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that project goals are met, facilitating discussions to address challenges, and guiding your team through the development process. You will also engage in strategic planning to align application development with organizational objectives, ensuring that all stakeholders are informed and involved in key decisions throughout the project lifecycle. Key Responsibilities: • Lead and manage the configuration, monitoring, and optimization of StreamSets pipelines. • Work closely with client teams and internal stakeholders to interpret metadata extracts and validate pipeline inputs from StreamSets and Pulse Discovery Dashboards. • Evaluate metadata samples provided by the client and identify gaps or additional requirements for full extraction. • Coordinate with SMEs and client contacts to validate technical inputs and assessments. • Support the preparation, analysis, and optimization of full metadata extracts for ongoing project phases. • Collaborate with cloud infrastructure teams to ensure seamless deployment and monitoring of StreamSets on cloud platforms. • Provide SME-level inputs and guidance during design sessions, catch-ups, and technical reviews. • Ensure timely support during critical assessments and project milestones. Roles & Responsibilities: Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows for measurable impact. - 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. - Facilitate knowledge sharing and mentoring within the team to enhance overall performance. - Monitor project progress and implement necessary adjustments to meet deadlines and quality standards. Professional & Technical Skills: Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks. Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization. • Proven experience in StreamSets (IBM preferred) pipeline development and administration. • Familiarity with Discovery Dashboard and metadata structures. • Exposure to cloud platforms such as AWS, including infrastructure setup and integration with data pipelines. • Strong communication skills for client interaction and stakeholder engagement. • Ability to work independently in a fast-paced, client-facing environment. Professional & Technical Skills: - Must To Have Skills: Proficiency SME in IBM StreamSets - Good To Have Skills: Experience with Cloud Infrastructure. Proficiency in Data Engineering. - Strong understanding of data modeling and ETL processes. - Experience with big data technologies such as Hadoop or Spark. - Familiarity with database management systems, including SQL and NoSQL databases. Additional Information: - The candidate should have minimum 5 years of experience in Data Engineering. - This position is based at our Bengaluru office. - A 15 years full time education is required.15 years full time education
Project Role Description : Design, build and configure applications to meet business process and application requirements.
Must have skills : Data Engineering
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformation. We are seeking a StreamSets SME with deep expertise in IBM StreamSets and working knowledge of cloud infrastructure to support ongoing client engagements. The ideal candidate should have a strong data engineering background with hands-on experience in metadata handling, pipeline management, and discovery dashboard interpretation. As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that project goals are met, facilitating discussions to address challenges, and guiding your team through the development process. You will also engage in strategic planning to align application development with organizational objectives, ensuring that all stakeholders are informed and involved in key decisions throughout the project lifecycle. Key Responsibilities: • Lead and manage the configuration, monitoring, and optimization of StreamSets pipelines. • Work closely with client teams and internal stakeholders to interpret metadata extracts and validate pipeline inputs from StreamSets and Pulse Discovery Dashboards. • Evaluate metadata samples provided by the client and identify gaps or additional requirements for full extraction. • Coordinate with SMEs and client contacts to validate technical inputs and assessments. • Support the preparation, analysis, and optimization of full metadata extracts for ongoing project phases. • Collaborate with cloud infrastructure teams to ensure seamless deployment and monitoring of StreamSets on cloud platforms. • Provide SME-level inputs and guidance during design sessions, catch-ups, and technical reviews. • Ensure timely support during critical assessments and project milestones. Roles & Responsibilities: Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows for measurable impact. - 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. - Facilitate knowledge sharing and mentoring within the team to enhance overall performance. - Monitor project progress and implement necessary adjustments to meet deadlines and quality standards. Professional & Technical Skills: Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks. Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization. • Proven experience in StreamSets (IBM preferred) pipeline development and administration. • Familiarity with Discovery Dashboard and metadata structures. • Exposure to cloud platforms such as AWS, including infrastructure setup and integration with data pipelines. • Strong communication skills for client interaction and stakeholder engagement. • Ability to work independently in a fast-paced, client-facing environment. Professional & Technical Skills: - Must To Have Skills: Proficiency SME in IBM StreamSets - Good To Have Skills: Experience with Cloud Infrastructure. Proficiency in Data Engineering. - Strong understanding of data modeling and ETL processes. - Experience with big data technologies such as Hadoop or Spark. - Familiarity with database management systems, including SQL and NoSQL databases. Additional Information: - The candidate should have minimum 5 years of experience in Data Engineering. - This position is based at our Bengaluru office. - A 15 years full time education is required.15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
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We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Accenture Bengaluru, Karnataka, IND Office
SEZ, Divyashree Techno Park 36/2, K R Puram, Hobli, Kundalahalli, Whitefield, Bengaluru, Karnataka, India, 560066
What you need to know about the Bengaluru Tech Scene
Dubbed the "Silicon Valley of India," Bengaluru has emerged as the nation's leading hub for information technology and a go-to destination for startups. Home to tech giants like ISRO, Infosys, Wipro and HAL, the city attracts and cultivates a rich pool of tech talent, supported by numerous educational and research institutions including the Indian Institute of Science, Bangalore Institute of Technology, and the International Institute of Information Technology.
