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Datamatics Global Services Ltd

<div>Job Title: Technical Delivery Consultant (Data &amp; Analytics) 
Experience Level: 4&ndash;7 Years 
Location: Islamabad<h3 class="jobSectionHeader">
About the Role</h3>
We are looking for a proactive Technical Delivery Consultant to join our Data &amp; Analytics consulting practice. In this role, you will not only lead the technical execution of data platform implementations but also act as a quality gatekeeper&mdash;reviewing ongoing projects and guiding teams toward the right architectural decisions. Additionally, you will partner with our sales and client success teams to engage with prospective customers, understand their challenges, and propose fit-for-purpose data solutions. This role demands a rare mix of hands-on technical depth, delivery discipline, and consultative communication skills.<h3 class="jobSectionHeader">
Key Responsibilities</h3><h4 class="jobSectionHeader">
1. Delivery Leadership (Project Execution)</h4><ul><li>
Lead end-to-end technical delivery of data platform implementation projects (e.g., data warehousing, data lakes, lakehouses, or modern BI platforms).</li><li>
Translate business requirements into technical specifications, architecture blueprints, and development tasks.</li><li>
Manage technical risks and dependencies; ensure projects are delivered on time, within scope, and with high quality.</li><li>
Collaborate with junior developers, data engineers, and cross-functional teams to drive execution.</li></ul><h4 class="jobSectionHeader">
2. Technical Governance &amp; Quality Assurance</h4><ul><li>
Perform periodic technical health checks on in-progress projects to validate the technical approach, code quality, and architectural decisions.</li><li>
Identify areas of technical debt, performance bottlenecks, or scalability concerns and recommend actionable improvements.</li><li>
Establish and enforce best practices for data modeling, ETL/ELT pipelines, data governance, and security.</li><li>
Conduct peer reviews and technical audits to ensure consistency across multiple client engagements.</li></ul><h4 class="jobSectionHeader">
3. Pre-Sales &amp; Solutioning Support</h4><ul><li>
Participate in technical discovery meetings with prospect customers to understand their data challenges, existing landscape, and success criteria.</li><li>
Design and present high-level solution architectures, technology recommendations, and effort estimates.</li><li>
Articulate the value proposition of proposed solutions clearly to both technical and non-technical stakeholders.</li><li>
Build proof-of-concepts (PoCs) or reference architectures to demonstrate technical feasibility during sales cycles.</li></ul><h4 class="jobSectionHeader">
4. Client &amp; Stakeholder Communication</h4><ul><li>
Serve as a trusted technical advisor to client technical leads and architects.</li><li>
Facilitate workshops, sprint reviews, and technical status updates with clarity and confidence.</li><li>
Translate complex technical concepts (e.g., partitioning strategies, incremental loads, data lineage) into business-friendly language.</li></ul><h3 class="jobSectionHeader">
Required Qualifications</h3>
Technical Expertise:<ul><li>
4&ndash;7 years of hands-on experience in data platform implementation (cloud or on-prem).</li><li>
Strong proficiency in SQL and at least one programming language (Python, Scala, or Java).</li><li>
Experience with cloud data platforms (Snowflake, BigQuery, Redshift, Synapse, or Databricks).</li><li>
Solid understanding of data modeling (Kimball, Inmon, Data Vault), ETL/ELT patterns, and workflow orchestration (Airflow, dbt, Azure Data Factory, or similar).</li><li>
Familiarity with data governance, cataloging, and quality tools (Collibra, Purview, Great Expectations, etc.) is a plus.</li></ul>
Delivery &amp; Process Skills:<ul><li>
Proven experience leading technical workstreams within Agile/Scrum or hybrid methodologies.</li><li>
Experience conducting technical reviews, audits, or readiness assessments on live projects.</li><li>
Ability to balance speed of delivery with long-term maintainability and performance.</li></ul>
Consulting &amp; Communication:<ul><li>
Excellent verbal and written communication skills &ndash; able to lead technical conversations with customers and internal stakeholders.</li><li>
Comfortable creating solution architecture diagrams, slide decks, and proposals for prospect meetings.</li><li>
Prior experience supporting pre-sales (estimations, solutioning, PoCs) is highly desirable.</li><li>
Strong problem-solving mindset with the ability to push back constructively when needed.</li></ul><h3 class="jobSectionHeader">
Nice to Have</h3><ul><li>
Cloud certification (AWS Solutions Architect, Azure Data Engineer, or GCP Data Engineer).</li><li>
Experience with modern data stack (dbt, Airbyte, Fivetran, Looker, Power BI).</li><li>
Background working in a consulting or services organization (client-facing delivery).</li></ul>
BCdj0OqMUj</div>

Technical Delivery Consultant (Data & Analytics)

Zones IT Solutions

<div>
 
 Description
 
 
 
 Company Overview:
 
 
 When it comes to IT solution providers, there are a lot of choices. But when it comes to providers with innovative and differentiating end-to-end service offerings, there&rsquo;s really only one: Zones &ndash; First Choice for IT.TM
 
 
 Zones is a Global Solution Provider of end-to-end IT solutions with an unmatched supply chain. Positioned to be the IT partner you need, Zones, a Minority Business Enterprise (MBE) in business for over 35 years, specializes in Digital Workplace, Cloud &amp; Data Center, Networking, Security, and Managed/Professional/Staffing services. Operating in more than 120 countries, leveraging a robust portfolio, and utilizing the highest certification levels from key partners, including Microsoft, Apple, Cisco, Lenovo, Adobe, and more, Zones has mastered the science of building digital infrastructures that change the way business does business ensuring whatever they need, they can Consider IT Done. Follow Zones, LLC on Twitter @Zones, and LinkedIn and Facebook.
 
 
 Position Overview
 
 
 We are seeking a highly motivated individual to support and evolve our data, planning, and analytics ecosystem. This role will work across Microsoft D365, Azure data platforms and Supply and Demand planning software (Kinaxis Maestro) to maintain and deliver reliable data pipelines, resolve system issues, and support business reporting and analytics.
 
 
 The ideal candidate is a self-starter, strong critical thinker, and hands-on problem solver who can reverse engineer existing processes and code, identify root causes, and continuously improve system reliability and performance. Familiarity with supply chain operations and planning concepts is essential.
 
 
 
 What You&rsquo;ll Do As An Analytics Engineer
 
 
 
 Employees employed in the role of Analytics Engineer shall be required to apply their independent mind and demonstrate intellectual abilities in their decision-making.
 
 
 The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This job description is not intended to be a comprehensive list of the duties and responsibilities of the position, and the duties and responsibilities may change without notice.
 
 
 <ul>
 <li>
 Design, support, and enhance data pipelines and integrations using Azure Databricks, Azure Data Factory, and related Azure services
 </li>
 <li>
 Investigate, troubleshoot, and resolve bugs, incidents, and data quality issues across planning, reporting, and integration workflows
 </li>
 <li>
 Support and enhance integrations, data flows, and analytical use cases
 </li>
 <li>
 Develop and maintain SQL, Python, and Scala code for data transformation, validation, and analytics
 </li>
 <li>
 Build and support Power BI datasets, semantic models, and reports for supply chain and operations stakeholders
 </li>
 <li>
 Collaborate with business partners to refine user stories and technical requirements, translating business needs into scalable solutions
 </li>
 <li>
 Actively participate in team workflows including backlog grooming, sprint execution and demonstration
 </li>
 <li>
 Perform root-cause analysis by reverse engineering existing code, pipelines, and undocumented processes
 </li>
 <li>
 Recommend and implement improvements to data modeling, performance, monitoring, and reliability
 </li>
 <li>
 Document systems, data flows, and operational procedures to improve maintainability and knowledge sharing
 
 
 </li>
 </ul>
 
 Education/Certification
 
 
 
 What you will bring to the team:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a related field.
 
 
 </li>
 </ul>
 
 Required Experience
 
 
 
 <ul>
 <li>
 Strong experience with Azure Databricks, Azure Data Factory, and cloud-based data architectures
 </li>
 <li>
 Proficiency in SQL and Python (Scala experience also preferred)
 </li>
 <li>
 Experience with Power BI, including data modeling and performance optimization
 </li>
 <li>
 Experience supporting production data pipelines and troubleshooting complex issues
 </li>
 <li>
 Proven ability to work independently, prioritize work, and navigate ambiguity
 </li>
 <li>
 Strong analytical and problem solving skills with attention to detail
 </li>
 <li>
 Experience working with Kinaxis Maestro (or similar supply chain planning systems)
 </li>
 <li>
 Exposure to enterprise ERP systems (e.g., SAP, Oracle, Dynamics)
 </li>
 <li>
 Prior experience supporting business critical operational systems
 
 
 </li>
 </ul>
 Zones offers a comprehensive Benefits package
 
 
 At Zones, we are committed to fostering an inclusive and diverse workplace where every team member is valued and supported. We offer life insurance, optional health insurance, EOBI, and a voluntary pension scheme in line with Company policy. Employees also enjoy additional perks such as Complimentary meals, and access to our in-house gym.
 
 
 We take pride in being an equal opportunity employer and remain dedicated to maintaining a workplace free from discrimination of any kind. If you are passionate about driving innovation in IT, sales, engineering, or operations, Zones provides a dynamic and collaborative environment to help you grow your career.
 
 
 All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy.
 
 
 Job timings: 8:00PM &ndash; 5:00AM (Pk time)
 
 
</div>

Analytics Engineer

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Technical Delivery Consultant (Data & Analytics)

Analytics Engineer