Consultant, Data Engineering

Consultant, Data Engineering

We are looking for a savvy Data Engineer to join our growing team of analytics experts at your Performance Analytics Group (PAG) organization. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our data architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

Requirements

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• 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.
• Support in building analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Engage with peer teams and business stakeholders including on to assist with data-related technical issues and support their data infrastructure needs.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Recommend ways to improve data reliability, efficiency and quality.

Qualifications

• 12+ years overall experience, with 9+ years of relevant experience in a data engineer role.
• Graduate degree in Computer Science, Information Systems or another quantitative field.
• Expertise and experience using the following tools & technologies:
• Advanced knowledge/experience with warehousing/big data environments: Teradata, Hadoop, GreenPlum etc.,
• Advanced knowledge/experience with relational databases: Microsoft SQL Server (T-SQL, SSIS, SSAS), Oracle, MemSQL etc.,
• Basic/Intermediate knowledge/experience with big data tools: Hadoop, Spark, Kafka, etc.
• Basic/Intermediate knowledge/experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Business Acumen
  • Demonstrate business acumen coupled with the technical skills
  • Possesses an acute interpretative ability and inquisitive mind. Be able hypothesize business directions and outcomes, analyze to identify performance indicators, opportunities and communicate conclusions effectively to gain buy-in.
• Managing Work
  • Drive to overcome organizational and technical barriers to obtain data and deliver required results.
  • Comfortable drawing conclusions on the basis on incomplete data.
• Dealing with Ambiguity
  • Ability to prioritize requirement from multiple source whilst setting clear expectations of deliverables to all parties.
  • Comfortable drawing conclusions on the basis on incomplete data.
• Problem Solving
  • Solves difficult problems with effective solutions; asks good questions and probes all fruitful sources for answers; can see underlying or hidden problems and patterns; is excellent at honest analysis; looks beyond the obvious and doesn’t stop at the first answers

Here’s our story; now tell us yours

Dell Technologies helps organizations and individuals build a brighter digital tomorrow. Our company is made up of more than 150,000 people, located in over 180 locations around the world. We’re proud to be a diverse and inclusive team and have an endless passion for our mission to drive human progress.

What’s most important to us is that you are respected, feel like you can be yourself and have the opportunity to do the best work of your life - while still having a life. We offer excellent benefits, bonus programs, flexible work arrangements, a variety of career development opportunities, employee resource groups, and much more.

We started with computers, but we didn’t stop there. We are helping customers move into the future with multi-cloud, AI and machine learning through the most innovative technology and services portfolio for the data era. Join us and become a part of what’s next in technology, starting today.

You can also learn more about us by reading our latest Diversity and Inclusion Report and our plan to make the world a better place by 2030 here.

Application Closing Date: 30 July 2021

Dell is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Dell are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Dell will not tolerate discrimination or harassment based on any of these characteristics. Dell encourages applicants of all ages. Read the full Equal Employment Opportunity Policy here.