Data Engineer

Project Role : Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Data Engineering
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:

The Manager will lead one or more analytics and development of workstreams, ensuring delivery of quality, stakeholder alignment, technical feasibility, and business value realization. This role requires a balance of delivery of leadership, analytical understanding, technical review, team management, and stakeholder communication.

Roles Responsibilities:

- Lead analytics, development, dashboarding, workflow, and automation of workstreams across one or more pods.
- Partner with stakeholders to define priorities, success metrics, business outcomes, timelines, and delivery expectations.
- Translate business priorities into executable delivery plans for developers, techno-functional analysts, and analytics resources.
- Manage scope, resources, timelines, dependencies, risks, escalations, and delivery quality.
- Provide hands-on review of SQL logic, data interpretation, dashboards, workflows, validation results, and solution design.
- Ensure requirements, technical designs, test plans, documentation, and knowledge transfer materials are complete and usable.
- Coach developers, senior developers, analysts, and techno-functional team members.
- Resolve delivery issues, clarify ambiguity, manage stakeholder expectations, and drive timely decision-making.
- Identify opportunities for automation, standardization, process improvement, quality enhancement, and productivity improvement.
- Ensure the team remains focused on analytics and business outcomes rather than pure tool implementation or administrative project tracking.

Professional Technical Skills:
- Experience leading analytics, BI, workflow, reporting, or data solution delivery teams.
- Strong understanding of SQL, analytics delivery, dashboards, reporting architecture, data validation, and large enterprise datasets.
- Ability to guide technical and functional teams without necessarily being the primary hands-on developer for every task.
- Strong stakeholder management, communication, prioritization, issue-resolution, and escalation management skills.
- Ability to manage ambiguity and translate business needs into structured delivery plans.
- Working knowledge of Python, Colab, PLX-style analytics environments, BI tools, and workflow delivery.
- Experience managing distributed teams and multiple concurrent workstreams.
- Supply chain, infrastructure operations, logistics, inventory, planning, procurement, quality, or finance analytics experience is strongly preferred.

Additional Information:
Typically 812 years of experience in analytics delivery, BI, data solution delivery, techno-functional delivery, supply chain analytics, or related roles, including team or workstream leadership experience.


Qualification
15 years full time education