Data Engineer

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Data Build Tool Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Job Title Senior Data Engineer – DBT Experience 5+ years in Data Engineering / Analytics Engineering Summary: We are looking for a Senior Data Engineer with strong hands-on experience in Snowflake and DBT to design, build, and maintain scalable data transformation pipelines. The ideal candidate will work closely with analytics, business, and platform teams to deliver reliable, high quality data models following best practices. Key Responsibilities Design, develop, and maintain Snowflake data models, schemas, and views Build and manage DBT models, tests, snapshots, and documentation Implement ELT pipelines following analytics engineering best practices Optimize Snowflake performance (warehouses, clustering, query tuning) Ensure data quality using DBT tests and reconciliation checks Orchestrate data workflows using Airflow (DAG monitoring and troubleshooting) Manage source control, CI/CD pipelines, and code reviews using GitHub and GITHUB Actions Work with cloud storage (AWS S3) for data ingestion and unloading Collaborate with cross functional teams for requirements, design, and delivery Support production issues, RCA, and continuous improvement initiatives Required Skills Strong experience with Snowflake (SQL, Warehouses, Security, Performance tuning) Hands on experience with DBT (Core) Advanced SQL skills for analytical transformations Experience with ELT/ETL pipelines and data warehousing concepts Familiarity with Airflow for job orchestration Experience using GitHub for version control and CI/CD Strong debugging, problem solving, and communication skills Good to Have Basic knowledge of AWS S3 (file ingestion, unloads) Basic understanding of AWS IAM roles and policies Exposure to GitHub Actions or CI/CD automation Experience in production support (L2/L3), monitoring, and incident handling Knowledge of data governance, access control, and security best practices Additional Information: - The candidate should have minimum 5 years of experience in Data Building Tool. - This position is based at our Chennai office. - A 15 years full time education is required. 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. 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