Project Role: Custom Software Engineer

Project Role Description: Design, build and configure applications to meet business process and application requirements.

Must have skills: Python (Programming Language)

Good to have skills: NA

Minimum 7.5 year(s) of experience is required

Educational Qualification: 15 years full time education

Summary:

As a Python, you will be responsible for building and designing scalable and open Business Intelligence (BI) architecture to provide cross-enterprise visibility and agility for business innovation. You will create industry and function data models used to build reports and dashboards, ensuring seamless integration with Accentures Data and AI framework to meet client needs.

Roles & Responsibilities:

1.Data Engineer to lead or drive the migration of legacy SAS data preparation jobs to a modern Python-based data engineering framework.
2. Should have deep experience in both SAS and Python, strong knowledge of data transformation workflows, and a solid understanding of database systems and ETL best practices.
3.Should analyze existing SAS data preparation and data feed scripts and workflows to identify logic and dependencies.
4.Should translate and re-engineer SAS jobs into scalable, efficient Python-based data pipelines.
5.Collaborate with data analysts, scientists, and engineers to validate and test converted workflows.
6.Optimize performance of new Python workflows and ensure data quality and consistency.
7.Document migration processes, coding standards, and pipeline configurations.
8.Integrate new pipelines with google cloud platforms as required.
9.Provide guidance and support for testing, validation, and production deployment

Professional & Technical Skills:

• Must To Have Skills: Proficiency in SAS Base & Macros
• Strong understanding of statistical analysis and machine learning algorithms
• Experience with data visualization tools such as Tableau or Power BI
• Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms
• Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity

Additional Information:

• The candidate should have 8+ years of exp with min 3 years of exp in SAS or python Data engineering

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.