Company Overview:

Since 1898, we have helped customers complete more than 25,000 projects in 160 countries on all seven continents that have created jobs, grown economies, improved the resiliency of the world's

infrastructure increased access to energy, resources, and vital services, and made the world a safer, cleaner place.

Differentiated by the quality of our people and our relentless drive to deliver the most successful outcomes, we align our capabilities to our customers’ objectives to create a lasting positive impact.

We serve the Infrastructure; Nuclear, Security & Environmental; Oil, Gas & Chemicals; and Mining &

Metals markets. Our services span from initial planning and investment, through start-up and operations. Core to Bechtel are our values – ethics, safety, quality, people, culture, relationships, innovation and sustainability, and our covenants – integrity, respect, collaboration, trust, and delivery. They are what we believe, what customers can expect, and how we deliver.

Essential Duties And Responsibilities:

Helping to design, deploy, manage and support the systems and infrastructure required for a data processing pipeline in support of a products requirements.

Primary responsibilities revolve around DevOps and include implementing ETL (extract, transform and load) pipelines, monitoring/maintaining data pipeline performance.

Plan, design, and monitor these key characteristics of the analytics platform to help ensure that it complies with enterprise standards and that it performs adequately as additional analytics solutions are implemented.

Responsible for selecting appropriate technologies from the many open source, commercial on-premises, and cloud-based offerings available. Integrating a new generation of tools within the existing environment is also crucial to help ensure access to accurate and current data

Big data analytics architecture often needs to accommodate many and sometimes conflicting requirements and constraints. Requirements come from diverse stakeholders, such as line-of-business users, data scientists, analysts, and administrators.

Collaboration with various technical and architecture teams across countries to define a common, scalable, and global solution architecture.

Stay up to date on industry trends and maintains external relationships to develop state of the art knowledge in emerging technologies and to stay abreast of the latest thinking in technology arenas.

Performing discovery, analysis, and reporting on a snapshot of data in a one-off, stand-alone fashion is valuable

Help maintain the integrity and security of the company database

Analyze database implementation methods to make sure they are in line with company policies and any external regulations that may apply

Demonstrate initiative, self-motivation, creative problem-solving and effective interpersonal/communication skills that support the process of building collaboration between teams

Design Architecture diagrams that will help the team and integration partners to understand solution and vision.

Influence peers and technical staff within the team and collaborate with internal customers and work teams across departments.

Basic Qualifications:

Bachelor's degree or equivalent combination of education and work experience in software development

Development experience on Azure Data Factory Objects - ADF pipeline, Integration runtime, configurations

5+ years of BI development experience using MS technology stack

3+ years of experience developing both multidimensional and tabular models with large and complex datasets

Minimum Qualifications:

Experience in working on Azure Data Lake is desirable

Hands-on knowledge of ADF activities ADF data ingestion and integration with other services Experience in SQL, Stored Procedures, indexes 

Strong proficiency in DAX, SQL, Excel, Power BI

Successful track record delivering high-quality products on time while working in Agile Teams and following Agile methodologies

Able to coordinate technical standards within a development team

Strong verbal, written, and presentation skills

Strong Object-Oriented concepts

Deep understanding and practical experience on implementing best practices for technical design and development

Agility and quick learner, understanding of the Software development lifecycle

Azure Synapse, Azure Data Catalog, Machine Learning and statistical modeling experience is a plus