Project Role : Business Architect
Project Role Description : Identify opportunities to deliver tangible business value by assessing the current state, capturing high-level requirements, and defining business solutions. Translate business needs into technology-enabled solutions and operating models. Support transformation by developing business cases and guiding implementation of key initiatives.
Must have skills : Data Analytics
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Experience Level
2–5 Years
Job Summary
We are looking for an L2 Support Engineer with 2–5 years of experience to support and enhance data and analytics platforms in a production environment. This is a hybrid role combining hands-on production support with development and automation responsibilities. The role is ideal for someone who enjoys troubleshooting production issues and is eager to learn and grow into data engineering and analytics technologies.

Key Responsibilities
Production Support (L2)
Provide Level 2 support for data and analytics applications in production
Investigate and resolve incidents related to data pipelines, dashboards, reports, and backend services
Perform root-cause analysis (RCA) and implement corrective fixes
Handle escalations from L1 support and collaborate with senior engineers on complex issues

Development & Automation
Write and maintain Python scripts (intermediate level) for automation, monitoring, and data validation
Develop and optimize advanced SQL queries for investigations and production fixes
Implement small-to-medium code changes to resolve recurring issues
Identify opportunities to reduce manual effort through automation

Data, BI & Analytics Support
Support and troubleshoot analytics dashboards and reporting solutions
Validate data accuracy and consistency across analytics layers
Assist with ad-hoc data analysis and investigations
Work closely with analytics and data engineering teams

Cloud & Data Pipeline Exposure
Support data workflows in cloud environments
Monitor and troubleshoot data pipelines and scheduled jobs
Assist with environment configurations and deployments

Documentation & Collaboration
Maintain runbooks, SOPs, and support documentation
Participate in incident reviews and continuous improvement initiatives
Communicate clearly with stakeholders during issue resolution

Required Skills & Experience
Must Have
2–3 years of experience in application support, data support, or support engineering roles
Advanced SQL with hands-on experience in complex queries and data analysis
Python (Intermediate) – scripting, debugging, and automation
Strong troubleshooting, analytical, and communication skills
Some working knowledge on Looker, Tableau, Power BI or any other reporting tool

Big Plus (Willingness to Learn Expected)
Looker – interest in learning and supporting LookML models and dashboards
Azure Data Factory (ADF) – willingness to learn pipeline development and troubleshooting
Azure Cloud – eagerness to gain hands-on experience with cloud data services
Snowflake – openness to learning cloud data warehousing concepts and performance basics
Ideal Candidate Profile
Early-career engineer motivated to grow into data and analytics engineering
Comfortable working across support and development responsibilities
Curious, proactive, and eager to learn new tools and technologies
Strong sense of ownership and accountability for production systems

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 

Equal Employment Opportunity Statement

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.