Open Position: Senior Pavement Engineer; Location: Champaign, Illinois, United States; In-office; Full-time: Company: Engineering - Civil Engineering

Job Title: Senior Pavement Engineer

• Location: Champaign, Illinois, United States; In-office; Full-time
• Company: Engineering - Civil Engineering

Overview:

We are seeking an experienced and highly skilled Senior Pavement Engineer to lead and manage our pavement engineering projects with a focus on pavement management systems (PMS). The successful candidate will have a strong technical background in both empirical and mechanistic-empirical pavement design, and will be responsible for overseeing pavement evaluations, preparing detailed technical reports, and guiding decision-making processes through the development of deterioration models and fine-tuning decision trees, building the department and winning work and growing the business. In this role, you will be responsible for conducting pavement evaluations, interpreting test data, and working with advanced pavement analysis tools. You will also collaborate with cross-functional teams and external stakeholders to ensure high-quality outcomes in line with international standards.

Minimum Requirements:

• Experience: 10+ years of experience in pavement engineering, with a focus on pavement management systems (PMS) and leadership roles.
• Proficient in developing and calibrating deterioration models and fine-tuning decision trees.
• Strong background in both empirical and mechanistic-empirical pavement design.
• Solid experience in interpreting data from FWD, GPR, Friction Tester, and LCMS-2.
• Familiarity with key industry standards (FAA ACs, ICAO, GACA, Saudi ARAMCO, AASHTO, DMRB).

Software Proficiency:

• Skilled in using popular pavement analysis software.
• Ability to interpret results from destructive and non-destructive testing methods.

Reporting & Bid Preparation:

• Proven ability to prepare bids and write comprehensive technical reports.

Training Capabilities:

• Capable of providing training and guidance to junior engineers on data interpretation and the use of technical equipment.
• Professional Engineer (PE) license.
• MSCE (Master of Science in Civil Engineering), ME (Master of Engineering), or Ph.D. in a relevant field, preferably from the US, Europe, or UK.
• Programming Skills: Proficiency in programming languages relevant to pavement design and analysis.
• Software Knowledge: Familiarity with commercial pavement design and evaluation software.
• Flexibility & Collaboration: Willingness to travel to different company branches and work closely with other team leaders to drive project success.

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Open Position: Account Management Director; Location: Riyadh, Ar Riyāḍ, Saudi Arabia; Salary: $174K - $190K per annum; Industry: ICT, Computer Software; Work Type: In-office; Full-time

Job Title: Account Management Director

• Location: Riyadh, Ar Riyāḍ, Saudi Arabia
• Salary: $174K - $190K per annum
• Industry: ICT, Computer Software
• Work Type: In-office; Full-time

Job Summary:

We are seeking a highly experienced and results-driven Account Management Director to manage and grow our key accounts, particularly within large governmental and private sectors. The ideal candidate will have a proven track record in sales, account management, and client relationship management, preferably within the outsourcing industry. This role requires strong leadership, strategic thinking, and excellent communication skills.

Responsibilities:

• Drive sales of client's products and services to potential and existing key accounts within large governmental and private sectors.
• Proactively prospect and identify new leads and business opportunities within these target sectors.
• Manage all aspects of client relationships, acting as the primary point of contact and ensuring exceptional client service.
• Work closely with clients to understand their business requirements and recommend tailored solutions.
• Develop and deliver compelling proposals, presentations, and product demonstrations, showcasing Emdad's value proposition.
• Effectively close deals and secure new business.
• Build and maintain strong, long-term relationships with key decision-makers within client organizations, fostering trust and loyalty.
• Identify market trends, monitor competitor activities and pricing, and provide regular feedback to internal teams.
• Maintain accurate and up-to-date customer data and quotations within the CRM system.
• Proactively address and resolve client issues and concerns.
• Generate regular reports on account status, updates, and key performance indicators.
• Focus on increasing customer lifetime value and maximizing revenue generation within assigned accounts.
• Contribute to the development and implementation of account management strategies.

Qualifications:

• 12+ years of experience in sales and account management, with a proven track record of managing large governmental and private accounts.
• Prior managerial experience is essential.
• Experience in the outsourcing industry is highly preferred.
• Saudi National.
• Strong understanding of the sales process and account management best practices.
• Excellent communication, presentation, and negotiation skills.
• Ability to build and maintain strong relationships with clients 1 at all levels. 
• Strong analytical and problem-solving skills.
• Proficiency in using CRM systems.
• Ability to work independently and as part of a team.

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Python Data Engineer; US$15 - 61 K/Year (Annual salary); Work Location: Onsite Bengaluru, Karnataka, India: Longterm (Duration)

Job Title: Python Data Engineer

• Job Title: Data Engineer
• us$15 - 61 K/Year (Annual salary)
• Longterm (Duration)
• Work Location: Onsite Bengaluru, Karnataka, India

Job Summary:

We are looking for a proficient Data Engineer with expertise in Amazon Redshift, Python, Apache Airflow, dbt (Data Build Tool), API integration, and AWS. This role will be responsible for developing and maintaining scalable data pipelines, integrating data from multiple sources, and ensuring that our data architecture supports business intelligence, reporting, and analytics requirements. You willcollaborate with cross-functional teams to build and optimize our data infrastructure and provide clean, high-quality data to the business.

Key Responsibilities:

• Data Pipeline Development: Build and maintain robust ETL/ELT pipelines using Python, Apache Airflow, and dbt to extract, transform, and load data from various sources into Amazon Redshift.
• Amazon Redshift Management: Design, optimize, and maintain Amazon Redshift clusters, ensuring the warehouse is capable of handling large-scale data efficiently.
• API Integration: Develop solutions to integrate external APIs for data ingestion, ensuring proper data extraction, transformation, and integration into our data infrastructure.
• Data Modeling: Create and maintain scalable data models in Redshift that support analytics and reporting needs, including designing star and snowflake schemas for optimized querying.
• AWS Infrastructure Management: Leverage AWS services such as S3, Lambda, EC2, and CloudWatch to build and maintain a scalable and cost-efficient data architecture.
• DBT (Data Build Tool): Use dbt to manage and automate SQL transformations, ensuring modular, reusable, and well-documented data transformation logic.
• Workflow Orchestration: Utilize Apache Airflow to orchestrate and automate data workflows, ensuring reliable data pipelines and scheduled jobs.
• Data Quality & Testing: Implement and maintain data validation checks and testing frameworks to ensure data integrity, accuracy, and compliance across all data pipelines.
• Collaboration: Work closely with data scientists, analysts, and product teams to understand data needs and provide technical solutions that meet business objectives.
• Performance Optimization: Tune SQL queries and manage the performance of Redshift clusters to ensure fast, efficient data access and analysis.
• Data Governance: Enforce data governance policies to ensure compliance with security, privacy, and data quality standards throughout the data lifecycle.

Key Skills & Qualifications:

• Bachelors/Masters degree in Computer Science, Engineering, Data Science, or a related field.
• 3+ years of experience in data engineering with expertise in Amazon Redshift, Python, and AWS. Strong experience with Apache Airflow for workflow scheduling and orchestration.
• Hands-on experience with dbt (Data Build Tool) for managing SQL transformations and data models.
• Proficiency in API development and integration, including the use of RESTful APIs for data ingestion.
• Extensive experience with AWS services such as S3, Lambda, EC2, RDS, and CloudWatch.
• Expertise in data modeling concepts and designing efficient data structures (e.g., star schemas, snowflake schemas) in a data warehouse environment.
• Advanced knowledge of SQL for querying and optimizing large datasets in Redshift.
• Experience building ETL/ELT pipelines and integrating data from multiple sources, including structured and unstructured data.
• Familiarity with version control systems like Git and best practices for code management and deployment automation.
• Knowledge of data governance principles, including data security, privacy, and quality control.

Preferred Qualifications:

• Experience with real-time data processing tools such as Kafka or Kinesis.
• Familiarity with data visualization tools like Tableau, Looker, or Power BI.
• Knowledge of other data warehousing solutions like Snowflake or Google BigQuery.
• Experience with DevOps practices for managing infrastructure and CI/CD pipelines (Docker, Kubernetes).
• Understanding of machine learning pipelines and how data engineering supports AI/ML initiatives.

Soft Skills:

• Strong analytical and problem-solving skills.
• Ability to work independently and as part of a cross-functional team.
• Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders.
• Detail-oriented, proactive, and self-motivated with a focus on continuous improvement.
• Strong organizational and project management skills to handle multiple tasks

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