Data, ETL & Connector Engineer

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.

In Consulting we work with C-suite executives, leaders and boards of the world’s leading organizations, helping them reinvent every part of their enterprise to drive greater growth, enhance competitiveness, implement operational improvements, reduce cost, deliver sustainable 360° stakeholder value, and set a new performance frontier for themselves and the industry in which they operate. Our deep industry and functional expertise is supported by proprietary assets and solutions that help organizations transform faster and become more resilient.

Our Decision Science practitioners use Industry & Functional domain expertise to design and implement AI based decision-making frameworks and models to drive insights for decision making to solve business challenges.

We look for a Data, ETL & Connector Engineer experienced in data engineering or data science, including metadata ETL and APIs. Prefer experience with data engineering tools such as Python, etc. Prefer experience working with at least one search engine, especially in an ecommerce application.

Skills:

Core Skills: Java, Spring Batch, JavaScript, Python, AWS

Preferred Skills: Search engine (Solr, Elasticsearch, others), Azure DevOps

Duties:

Develops, modifies, and tests connectors for acquiring and transforming catalog data and metadata feeds into the format expected by the search engine. Supports incremental processes, mappings, and security as appropriate.

Performs data ingestion performance benchmarking and quality enhancements

Proficient English communication skills, and ability to interface daily with project team members, including both client and Accenture resources.

Works directly with data file owners, API SME and Technical Architect in understanding Source System Schema.

Supports API enhancements in support of all integration (backing up Full-stack engineer)

Perform bug analysis to identify root cause, document findings, and implement/test fixes in collaboration with other workstreams and teams.

Work with Technical Leads, Delivery lead, Scrum master, and client product owners and team members on prioritized sprint activities. Use ticketing system (Azure DevOps) to track daily task status. Update tickets daily with status, comments, code references, and blockers. Raise risks quickly.

Use CI/CD processes to test and promote solution. Resolve bugs and fixes, perform unit testing, coordinate with QA Analyst to ensure solution passes QA tests.

Maintain as-built documentation wiki as changes are made