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