Senior Data Engineer

Qualifications:

• Bachelor’s degree – Computer Science or a minimum of 5 years’ progressive

experience in a related field.

• 5+ years of experience in analytics, SQL, and/or ETL development.
• Proficiency in data warehousing/business intelligence development/data

modeling.

• 5+ years’ experience building large scale data sources in Oracle or

equivalent relational database.

• 3+ years’ experience using API platforms such as MuleSoft / APIGee and ELT

platform such as Matillion or Informatica.

• Have excellent SQL skills with PL/SQL development experience.
• Hands-on development experience using an ETL tool; Oracle Data Integrator

preferred.

• Hands-on development experience with Oracle Cloud reporting and data

replication; Business Intelligence Cloud Connector Console, BI Publisher, and OTBI preferred.

• Strong analytical and problem-solving capabilities.
• Experience with BI reporting tools like Tableau, Power BI.
• Programming skills: Java, Scala, Python.
• Expertise with CI/CD pipeline and integration tools e.g., Jenkins, GIT.
• Understand an analytics platform, its use-cases, and best practices.
• Experience working with different types of data stores (RDMS, Flat Files,

Columnar DBs, etc.)

• Strong understanding of dimensional modeling, data lakes, and data vault.
• Experience with Cloud-based environment, Saas.
• Experience with any of the cloud warehousing products e.g. Databricks,
• Snowflake, Redshift, etc.
• Experience with MS Power Platform.
• Experience working with cloud environments Azure.
• Experience in designing Data Architecture and pipelines.
• Proficient in performance tuning and debugging.
• Experience required to work in a fast-paced environment with a focus on

delivering customer satisfaction.

• Travel - up to 10% of the time. (domestic and international)
• Certain states and localities require employers to post a reasonable estimate of

salary range. A reasonable estimate of the current base pay range for this position is $111,600 to $139,500 annually. Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base pay.

The well-being of WWT employees is essential. So, when it comes to our benefits package, WWT has one of the best. We offer the following benefits to all

full-time employees:

• Health and Wellbeing: Health, Dental, and Vision Care, Onsite Health Centers,
• Employee Assistance Program, Wellness program
• Financial Benefits: Competitive pay, Profit Sharing, 401k Plan with Company
• Matching, Life and Disability Insurance, Tuition Reimbursement
• Paid Time Off: PTO and Sick Leave (starting at 20 days per year) & Holidays

(10 per year), Parental Leave, Military Leave, Bereavement

• Additional Perks: Nursing Mothers Benefits, Voluntary Legal, Pet Insurance,
• Employee Discount Program
• We strive to create an environment where all employees are empowered to succeed

based on their skills, performance, and dedication. Our goal is to cultivate a culture of belonging that encourages innovation, collaboration, and respect for all team members, ensuring that WWT remains a great place to work for All!

If you have any questions or concerns about this posting, please email taposting@wwt.com [taposting@wwt.com].

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Qualifications

Why WWT?

At World Wide Technology, we work together to make a new world happen. Our important work benefits our clients and partners as much as it does our people and communities across the globe. WWT is dedicated to achieving its mission of creating a profitable growth company that is also a Great Place to Work for All. We achieve this through our world-class culture, generous benefits, and by delivering cutting-edge technology solutions for our clients.

Founded in 1990, WWT is a global technology solutions provider leading the AI and Digital Revolution. WWT combines the power of strategy, execution, and partnership to accelerate digital transformational outcomes for organizations around the globe. Through its Advanced Technology Center, a collaborative ecosystem of the world's most advanced hardware and software solutions, WWT helps clients and partners conceptualize, test, and validate innovative technology solutions for the best business outcomes and then deploys them at scale through its global warehousing, distribution, and integration capabilities.

With over 12,000 employees across WWT and Softchoice and more than 60 locations around the world, WWT's culture, built on a set of core values and established leadership philosophies, has been recognized 14 years in a row by Fortune and Great Place to Work® for its unique blend of determination, innovation and creating a great place to work for all.

Want to work with highly motivated individuals on high-performance teams? Join WWT today!

What is the Internal WWT IT Team, and why join?

The Internal WWT IT team is the backbone of our company’s technological infrastructure, ensuring seamless operations and continuous innovation. Our team is dedicated to managing and supporting the company’s technological infrastructure, ensuring the smooth operation of hardware, software, networks, and data systems, while providing top-notch technical support to employees.

By joining the Internal WWT IT team, you will play a crucial role in maintaining the efficiency and security of our IT environment, enabling the company to achieve its strategic goals. The Internal IT team offers the opportunity to work in a dynamic and collaborative environment, where your contributions will directly impact the company's success. If you are passionate about technology and eager to take on new challenges, we encourage you to apply and join our team.

What will you be doing?

As a Senior Data Engineer, you will collaborate with a multi-disciplinary team of solution architects and data scientists on a wide range of business problems. You will be an integral part of the IT Data Insights & Analytics group, who is a team responsible for building out capabilities across business strategy, analytics, and Cloud.

The role's primary focus will be on architecting and maintaining our data pipeline and ETL processes, building integrations, and developing complex data models to foster data-driven decision making across all functional areas.

Senior Data Engineer must be able to:

• Independently execute on all phases of the Data Engineer project lifecycle
• Gain subject matter expertise in various business domain
• Apply technical expertise to solve complex business problems
• Effectively communicate with business stakeholders for successful project

execution

• Mentor team member

Responsibilities:

• Support our Analytics partners embedded in the business, providing data to

analysts across the company.

• Be an equal member of a cohesive and selfless team.
• Take complete ownership of your work with the goal of exceeding customer

expectations.

• Work closely with analysts, developers, and data architects to ensure

development meets requirements and delivers optimal performance.

• Consult on the design, development, and implementation of innovative

solutions to complicated data issues which enhance traditional star-schema data structures.

• Expertise in Data Engineering and implement multiple end-to-end DW projects

in Big Data environment.

• Support and debug issues in production environment and be part of production

support, across several reporting toolsets.

• Work in an agile team – plan, prioritize design, test, and coordinate

end-to-end delivery of solutions.

• Embrace the opportunity to expand your skillset both functionally and

technically.

• Design, create, and implement complex data models (including canonical,

conceptual, logical, and physical models).

• Implement new design methodologies.
• Build, scale, and maintain our data infrastructure and data products.
• Implement physical database models and tune SQL.
• Use ANSI SQL and/or PL/SQL to perform data analysis.
• Build the infrastructure required for optimal extraction, transformation, and

loading of data from a wide variety of data sources using SQL and “big data” technologies.

• Flexibility to work as a member of a matrix based diverse and geographically

distributed project teams.