7 - 12 years
25 - 35 Lacs
Hyderabad, Chennai, Bengaluru
Posted:2 days ago|
Platform:
Hybrid
Full Time
About the role As a Technology Consulting, you will be a key member of the teams working on end-to-end AI and analytics solutions being built for our clients. While your primary focus will be on the data engineering and application engineering components of the overall solution, you will collaborate with internal data science teams for the ML aspects. As the person responsible for the overall success of the program, you will: Collaborate with cross-functional teams to optimize data engineering processes. Drive problem discovery, scoping, program management, delivery, etc. Lead requirements elicitation using a combination of business acumen and technology understanding Lead stakeholder communication and drive continuous improvement initiatives. Manage RFP (Request for Proposal) and SOW (Statement of Work) processes, ensuring accurate scoping and delivery commitments. Translate the requirements of the solution to technical architects. Review the solution design & estimation for conformity with client requirements Coordinate program delivery (communicating updates, bottlenecks, risks, delays, etc) Measure and articulate the value of solutions developed to help drive solution adoption by business teams. Provide technical consulting on data strategy and business intelligence initiatives. Ensure smooth integration of cloud technologies within enterprise systems. Design and implement ETL workflows, data pipelines, and warehousing solutions. Architect cloud-based data solutions using Azure, AWS, or GCP. Provide strategic guidance on ETL processes, data engineering solutions, and cloud architectures (Azure, AWS, GCP). Desired Skills and Experience: Technology Consulting Proven ability to lead engagements and advise on digital transformation. RFP & SOW Proficiency in managing proposal and contract negotiations. Stakeholder Management Excellent communication skills for cross-team collaboration. ETL & Data Engineering Strong expertise in data pipelines, warehousing, and transformations. Cloud Solutions – Experience with Azure, AWS, or GCP for scalable deployments.
Tiger Analytics
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