Project Role Description : Provide consultative Business and System Integration services to help clients implement effective solutions. Understand and translate customer needs into business and technology solutions. Drive discussions and consult on transformation, the customer journey, functional/application designs and ensure technology and business solutions represent business requirements.
Must have skills : Snowflake Data Warehouse
Good to have skills : Python (Programming Language), Amazon Web Services (AWS)
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Required Skills - Strong experience with cloud data platforms on AWS - Hands-on experience with Airflow, dbt, and Snowflake - Proficiency in SQL and Python - Experience working with S3-based data lakes (raw/curated patterns) - Familiarity with metadata management, data catalogs, and data governance concepts - Containers - Experience running data workloads on EKS / Kubernetes Preferred / Nice to Have - Pyspark and knowledge of Glue Catalog, IAM cross-account access, and secure data sharing - Experience implementing data quality frameworks (custom or open-source) - Exposure to hybrid / on-prem integrations (e.g., file drops, legacy ETL) - Experience with hybrid architectures (on-prem + cloud) Role Overview - The Data Platform Engineer owns the design, build, and evolution of the firm’s cloud-native data platform. - This role focuses on ingestion, transformation, orchestration, metadata, and data quality across AWS and Snowflake. Core Responsibilities - Build and maintain data ingestion pipelines from internal and external sources into AWS S3 (Raw & Standard zones) - Develop and operate Airflow DAGs on EKS for ingestion, transformation, notifications, and data quality - Implement and maintain dbt models for Snowflake transformations - Manage Snowflake integrations, including external stages (S3) and environment separation (Prod / Non-Prod) - Own data quality frameworks, checks, and orchestration metadata (stored in RDS) - Integrate with AWS Glue / Data Catalog (SaaS) for metadata, lineage, and discovery with Atlan - Ensure data reliability, scalability, and cost efficiency across the platform - Partner with analytics and downstream consumers (BI tools, reporting, Cognos/Tableau)15 years full time education
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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
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