Custom Software Engineer

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 : Machine Learning (ML) Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will design, build, and maintain scalable data solutions that enable reliable data ingestion, transformation, and analytics across the organization. The role requires strong hands-on expertise in dbt and Python to develop modern ELT pipelines, ensure data quality, and support analytics and downstream consumption. You will work closely with cross-functional teams to migrate, optimize, and govern data workflows across platforms while ensuring high standards of performance, reliability, and data integrity. Roles & Responsibilities: Act as a Subject Matter Expert (SME) for data engineering solutions, with a strong focus on dbt-based transformation frameworks and Python-driven pipelines. Collaborate with, guide, and manage the team to deliver high-quality data engineering outcomes. Own and drive technical decisions for the team and contribute to broader architectural and design decisions across multiple teams. Design, develop, and maintain scalable and reliable data pipelines using dbt, Python, and modern data platforms. Lead initiatives to identify, analyze, and resolve complex data-related challenges, ensuring seamless data flow and accessibility. Ensure best practices in data modeling, transformation logic, testing, and documentation using dbt. Promote data quality, governance, and observability across the data lifecycle. Foster a collaborative and learning-oriented environment through mentoring, code reviews, and knowledge sharing. Coordinate with cross-functional stakeholders to align data engineering solutions with organizational and business goals. Professional & Technical Skills: Strong hands-on experience with dbt (data build tool) for data modeling, transformations, testing, and documentation. Strong proficiency in Python, including building data pipelines, utilities, and automation for data processing. AI & Agentic Engineering Skills: Ability to build AI agents and agentic workflows using LLMs, RAG, APIs, tool/function calling, orchestration, and evaluation techniques. Effectively leverage GitHub Copilot and AI capabilities within Snowflake, Databricks, and other engineering platforms to accelerate coding, pipeline development, testing, troubleshooting, data quality, and documentation, while adhering to security, privacy, governance, and responsible AI standards. Must To Have Skills: Proficiency in Data Engineering. Experience with designing and building scalable data pipelines and architectures. Strong knowledge of data integration techniques and ETL processes. Familiarity with cloud-based data platforms and distributed computing frameworks. Ability to optimize data workflows for performance and reliability. Understanding of data governance and data quality best practices. Managerial Skills: Lead Data Engineering delivery planning, resource allocation, stakeholder alignment, and risk management coordinate with engineering, analytics, architecture, security, and business teams. Track data pipeline development, testing, deployment, production readiness, and delivery milestones. Mentor engineers on data engineering best practices, coding standards, data quality, performance, and operational reliability. Architectural Skills: Design end-to-end data engineering architectures covering data ingestion, transformation, storage, processing, orchestration, and consumption. Define appropriate batch and streaming patterns, data lake/data warehouse architecture, data models, integration patterns, security, monitoring, scalability, and resiliency. Establish standards for data quality, lineage, governance, observability, performance, and cost optimization, and document architectural decisions and associated trade-offs. 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 Important Notice We have been alerted to the existence of fraudulent messages asking job seekers to set up payment to cover various costs associated with establishing employment at Accenture. No one is ever required to pay for employment at Accenture. If you are contacted by someone asking for payment, please do not respond, and contact us at india.fc.check@accenture.com immediately. Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.