Project Role : Packaged/SaaS Application Engineer
Project Role Description : Configure and support packaged or SaaS applications to adapt features, manage releases, and ensure system stability. Use standard tools, APIs, and low-code platforms to align solutions with business needs while preserving compatibility and performance.
Must have skills : Data Engineering
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, a typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. This role requires creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. The position also involves implementing extract, transform, and load processes to facilitate seamless migration and deployment of data across various systems, enabling smooth data flow and accessibility for multiple teams and applications. The role also includes developing API-based and web-enabled data solutions using Python frameworks such as FastAPI or Django, while leveraging DevOps practices including CI/CD pipelines to support scalable and reliable deployments.
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 efforts to optimize data workflows and improve system performance.
-Mentor junior team members to support their professional growth and skill development.
Professional & Technical Skills:
-Must To Have Skills: Proficiency in Data Engineering, Microsoft Azure DevOps, Microsoft Azure Databricks, Python (Programming Language), FastAPI or Django, CI/CD pipeline implementation, and integration of data solutions with web applications and JavaScript-based frameworks.
-Strong experience in building and managing scalable data pipelines and workflows.
-Expertise in data integration, transformation, and migration techniques.
-Familiarity with cloud-based data platforms and services.
-Ability to troubleshoot and resolve complex data-related issues efficiently.
-Knowledge of best practices in data security and governance.
Additional Information:
-The candidate should have minimum 5 years of experience in Data Engineering.
-A 15 years full time education is required.15 years full time education
Project Role Description : Configure and support packaged or SaaS applications to adapt features, manage releases, and ensure system stability. Use standard tools, APIs, and low-code platforms to align solutions with business needs while preserving compatibility and performance.
Must have skills : Data Engineering
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, a typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. This role requires creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. The position also involves implementing extract, transform, and load processes to facilitate seamless migration and deployment of data across various systems, enabling smooth data flow and accessibility for multiple teams and applications. The role also includes developing API-based and web-enabled data solutions using Python frameworks such as FastAPI or Django, while leveraging DevOps practices including CI/CD pipelines to support scalable and reliable deployments.
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 efforts to optimize data workflows and improve system performance.
-Mentor junior team members to support their professional growth and skill development.
Professional & Technical Skills:
-Must To Have Skills: Proficiency in Data Engineering, Microsoft Azure DevOps, Microsoft Azure Databricks, Python (Programming Language), FastAPI or Django, CI/CD pipeline implementation, and integration of data solutions with web applications and JavaScript-based frameworks.
-Strong experience in building and managing scalable data pipelines and workflows.
-Expertise in data integration, transformation, and migration techniques.
-Familiarity with cloud-based data platforms and services.
-Ability to troubleshoot and resolve complex data-related issues efficiently.
-Knowledge of best practices in data security and governance.
Additional Information:
-The candidate should have minimum 5 years of experience in Data Engineering.
-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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