Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Data Engineering
Good to have skills : Python (Programming Language), AWS Lambda Administration, PySpark
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As a Custom Software Engineer, a typical day involves creating and implementing advanced technology solutions tailored to new and evolving industries and products. The role requires translating complex system requirements into detailed design specifications, ensuring that innovative approaches are applied to meet project goals. Collaboration with various stakeholders to align technical designs with business needs is a key aspect, alongside continuous evaluation and refinement of solutions to support emerging market demands.

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 development and implementation of technology strategies that align with project objectives.
- Facilitate knowledge sharing and mentorship within the team to foster professional growth.
- Coordinate cross-functional efforts to ensure seamless integration of software components.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Engineering SQL
- Experience with Python (Programming Language), AWS Lambda Administration, PySpark Airflow/EMR/Glue
- Strong knowledge of data pipeline architecture and data warehousing solutions.
- Experience in designing scalable and efficient data processing workflows.
- Familiarity with cloud-based data storage and processing platforms.
- Ability to optimize data ingestion and transformation processes for large datasets. Experience with designing and managing large-scale data processing systems.
- Strong knowledge of data pipeline architectures and data warehousing solutions.
- Ability to optimize data workflows for performance and scalability.
- Familiarity with cloud-based data services and distributed computing frameworks.
- Skilled in data integration, transformation, and quality assurance techniques.

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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