Deloitte—T&T | EAID | Engineering | Power BI | Consultant/Sr.con/ Manager | Multiple location

Job description

Description: T&T | EAID | Engineering | Power BI | Consultant/Sr.con/ Manager | Multiple location • Job requisition ID : 112618 • Location: Gurugram • Entity: Deloitte Touche Tohmatsu India LLP The Team Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning. Your work profile We're looking for a Data Engineer that can build data pipeline orchestrations and workflows in Airflow, Develop models, build data products, and perform transformations using DBT- Performance optimisations across data pipelines, SQL, and BigQuery, High quality documentation, ability to operate independently, and collaborate with cross-functional technical and non-technical teams globally, produce consistent high quality code accelerated by AI Core Technical Requirements Key Required skills - Proficient in Python, and DBT (DBT Fusion is highly preferred over DBT Core) - Build, deploy, and maintain Airflow DAGs for ingestion, data processing, and orchestration - Strong hands-on SQL capability in crafting efficient, performant, and cost-effective queries - Extensive experience working in GCP BigQuery - Strong data modelling expertise - Strong background on data governance - CI/CD experience e.g. GitHub, Bitbucket, GitHub Actions, Bamboo, ArgoCD - Strong understanding of Secure by design principles - Experience working in AWS Cloud - Experience with AWS Redshift, Snowflake Success MetricsMetricsliv Approach & Ways of Working - Flexibility of working hours where needed - Experience working within Agile delivery framework - Use of JIRA and Confluence for task management and documentation - Relevant working experience in Financial Services e.g. Banking and Financial Services, Fund Management, Investment Management - Strong understanding of Master Data Management principles - Experience working in an MDM Platform - 5 to 10 years of experience as a Data Engineer - Strong problem-solving and communication skills - Strong Risk Management mindset - Strong understanding of Change, Incident, and Problem Management - Ability to collaborate with both technical and non-technical stakeholders globally - Ability to delivery quality output independently with minimal oversight Qualifications - Education - B. tech or BE Location - Gurgaon