Digile is a Digital Technology Consulting company powering the next generation of digital solutions. Headquartered in Singapore and with a strong presence in ASEAN and North America, we are at the cusp of innovation where the physical meets digital to deliver ‘Phygital’ solutions for our customers. We employ the Build-Innovate-Optimize framework that helps our clients prioritize their initiatives based on their strategic goals. - We BUILD future-proof business systems: Our purpose-built digital solutions drive efficiency and innovation at scale. - We INNOVATE to bring physical and digital systems closer: Our range of ‘Phygital’ services help companies bridge the gap and deliver value to their customers. - We OPTIMIZE to gain a competitive advantage: We empower clients to embrace agile ways of working to accelerate their digital journeys. Our vision is to empower businesses to embrace the full potential of digital technology, by providing end-to-end digital services that enable them to innovate, optimize operations, and create value for their customers. We strive to be a trusted partner for our clients, offering purpose-built solutions that drive sustainable growth, increase efficiency, and enhance their competitive advantage in an ever-evolving digital landscape. Digile is powered by 500+ employees across the globe and we take pride in our ability to meet the diverse needs of our clients across industries, technologies, and geographies. Visit www.digile.com and explore InfinITe Possibilities with Digile.

Job description

Experience: 7-12 years

Mandatory Tech Specs: SQL, Python, GCP, BigQuery, DBT, Databricks/Informatica

Skills

Manage the organization’s data assets throughout their lifecycle
Run the day-to-day gov workflows including monitoring compliance
Enforce single source of truth/golden record for data assets – prevent data sprawl, silos, dups ensuring data accuracy, consistency, and trustworthiness
Drive data’s quality, visibility, security and compliance capabilities across the organization.
Safeguard data from unauthorized access, and ensure compliance with regulatory requirements. Implementing controls.
Drive data democratization, help data consumers find high-quality data quickly, promoting a better understanding of the data’s meaning and context.
Implement data catalogue, trace data lineage, enforce data quality dimensions, and track changes (audit log)
Data classification (risk level, importance, protect at scale) security/access including its auditing
Drive transparent data lineage, ownership

Required profile