Data Engineer

Data Eng, Mgmt & Governance Specialist

Skill required: Data Management - Structured Query Language (SQL)
Designation: Data Eng, Mgmt & Governance Specialist
Qualifications:BE/BTech
Years of Experience:7 to 11 years
About Accenture
Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 784,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com
What would you do? Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song— all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com. The Data Engineering Specialist will play a crucial role in bridging the gap between raw data and actionable business strategies. They will focus on building robust data models, scalable data pipelines, and automated workflows that facilitate effortless extraction of insights through dashboards and reports. The primary responsibility of this role is to develop and optimize the data engineering infrastructure — ensuring data integrity, establishing strong stakeholder relationships, and designing efficient data processing and reporting architectures. These efforts will enable rapid development of data-driven solutions across business functions. Additionally, the specialist will drive continuous improvement initiatives, take a lead role in coordinating data ingestion activities, and enhance data models to meet evolving business requirements.
What are we looking for? • 5–9 years in Data Engineering, Data Analytics, ETL development, or a similar role • Advanced SQL proficiency — complex queries, CTEs, window functions, stored procedures, query optimization, UNION/UNION ALL, joins, indexing • Strong scripting skills — Pandas, NumPy, PySpark, SQLAlchemy; automation & ETL scripting • In-depth understanding of data structures, relational/dimensional modeling, and architecture • Deep understanding of data quality management frameworks and governance best practices • Strong analytical skills with a continuous improvement mindset • Excellent proficiency in English (spoken & written); client-facing communication skills • Bachelor s degree in engineering, Computer Science, Data Science, Information Technology, or equivalent • Experience with Azure (Data Factory, Databricks, Synapse), AWS (S3, Glue, Redshift), or GCP • Hands-on experience with Alteryx, Matillion, SSIS, or Airflow • Working knowledge of Power BI, Tableau, or similar visualization tools • Familiarity with Git, Azure DevOps • Experience developing in Agile/Scrum methodologies • Prior experience in Marketing, Finance, or Supply Chain data domains • Experience with Power Automate, VBA, or workflow orchestration tools (Dagster, Prefect)
Roles and Responsibilities: • Design, develop, and maintain scalable ETL/ELT pipelines using SQL and Python to support data integration from multiple sources • Write complex, optimized SQL queries, stored procedures, CTEs, views, and functions for data extraction, transformation, and analysis • Develop Python scripts and automation tools (using libraries such as Pandas, NumPy, SQLAlchemy, PySpark) for data processing, cleansing, and transformation • Identify optimal data storage solutions (e.g., SQL Server, Azure SQL, Snowflake, SharePoint, Blob Storage) and implement best-fit architectures • Integrate multiple data sources into unified data models to support downstream reporting and visualization • Establish and enforce data governance checkpoints — identifying, validating, and onboarding data sources to ensure availability, completeness, accuracy, and alignment with operating models • Implement data validation, reconciliation, and quality-checking methodologies • Continuously review and refine controls, validation checks, and governance mechanisms to strengthen data reliability and audit readiness • Partner with business stakeholders, Data Platform leaders, and cross-functional teams to understand end-to-end data flows and translate business requirements into technical solutions • Perform feasibility analysis, develop proof-of-concept solutions, and provide consultative recommendations for data-driven decision making • Consolidate data requirements while engaging with BusOps and reporting teams to ensure data availability and accuracy • Interact directly with clients — discussing requirements, managing expectations, and providing regular status updates • Proactively assess existing workflows, reports, and data pipelines to identify inefficiencies and opportunities for automation • Standardize repeatable processes and patterns to reduce manual effort, minimize errors, and improve scalability across teams • Drive adoption of best practices, tools, and templates across delivery teams • Guide and mentor junior team members (Analysts / Senior Analysts), supporting skill enhancement and career development • Contribute to building and scaling BI/DE teams and processes • Maintain up-to-date documentation of processes, quality standards, and technical solutions