HEALTH & LIFE TECK • MEDIA APPS • OFFICE AUTOMATION • INTRANET PLATFORMS • ADVANCED ANALYTICS
51 - 200
November 8
HEALTH & LIFE TECK • MEDIA APPS • OFFICE AUTOMATION • INTRANET PLATFORMS • ADVANCED ANALYTICS
51 - 200
• TECKNOWORKS is a global technology consulting firm dedicated to optimizing client productivity and profitability. • We empower businesses, from mid-sized enterprises to international corporations, with innovative tech solutions. • At TECKNOWORKS, we foster a culture of impact, enabling clients to excel through technology and innovation in their business and personal lives. • In this role, you will focus on designing and governing data architecture to facilitate data-driven decision making. • Your responsibilities will include crafting and overseeing the implementation of efficient data ingestion strategies, ensuring robust ETL processes, and maintaining data quality and accessibility. • You will leverage your expertise in Snowflake data warehousing, SQL optimization, and data integration technologies to drive the data strategy forward, with a primary emphasis on design and governance rather than hands-on implementation. • You will also have the chance to deliver data-driven organizational transformation, utilizing on-premises and cloud data and applying the best practices and methods in this field. • Your responsibility will be to take the initiative and ownership of projects and clients. • Design and architect to appropriately safeguard data security, data integrity and data privacy at the conceptual and logical level. • Own the definition and implementation of the Data Architecture Roadmap to support client’s strategic and operational roadmap. • Design and implement data integration solutions to consolidate data from various sources into client’s analytical platforms and develop and manage data ingestion pipelines using modern technologies for timely and accurate data availability. • Lead the development of efficient, scalable, and maintainable ETL processes and frameworks to extract, transform, and load data into the data artefacts. • Collaborate with business analysts and stakeholders to create and maintain source-to-target mappings, documenting data lineage and transformation logic to ensure accurate data requirements. • Implement best practices for data modeling, security, and performance optimization in Datawarehouse systems (Cloud and On-Premises) to design and manage data warehousing solutions. • Collaborate with data engineers, data scientists, and business stakeholders to provide comprehensive data solutions while offering technical leadership and mentorship to junior team members. • Actively participate in presales processes by working closely with the sales team to understand client requirements and propose appropriate data architecture solutions. • Develop and present technical presentations, proposals, and demonstrations to prospective clients. • Provide technical expertise during client meetings, helping to address questions and concerns related to data architecture and management.
November 7
1001 - 5000
Enhance financial operations through data management and integration strategies.
October 17
51 - 200
Transform raw data into insights as a Data Engineer at Sales Consulting.
September 25
201 - 500
Develop data pipelines and manage data ecosystem for efficient metrics computation.