Overview
Advanced Analytics Data Engineer/Wrangler
Do you thrive on developing creative and innovative insights to solve complex challenges? Want to work on next-generation, cutting-edge products and services that deliver outstanding value and that are global in vision and scope? Work with other experts in your field? Work for a world-class organization that provides an exceptional career experience with an inclusive and collaborative culture?
Want to make an impact that matters? Consider Deloitte Global.
Working as a member of the Advanced Analytics Team within Deloitte Global, the data engineer/wrangler will act as a key contributor to advanced analytics projects that deliver business value to senior stakeholders and will be integral to the success of the team
It is key the candidate has a sound strategic and tactical understanding of data technologies and processes to ensure rapid delivery of projects
Duties and Responsibilities
* Partner closely with the data architect and data scientists to develop data models that will support advanced analytics projects for key stakeholders
- Validate quality and completeness of data and fit for purpose and highlight gaps and challenges to ensure success of stakeholder projects
- Understanding of different data domains and designs to support the needs of the data scientists to support modelling and algorithms
- Define and develop ETL routines to ingest structured and unstructured data from a variety of sources
- Validate quality and completeness of data and fit for purpose and highlight gaps and challenges to ensure success of stakeholder projects
- Participate in the definition of project schedules with key milestones and deliver to the agreed plan
Required Technical Skills
* Experience in Azure Databrick and good command over PySpark/Python and SQL is must.
- Experience with ETL/ELT (e.g., SSIS, Azure Data Factory) is a must
- Experience in database design, development with advanced proficiency in SQL is a must
- Experience with data cleansing techniques and tools is a must
- Experience with data visualization tools such as Tableau, Power BI, QlikView, Qlik Sense
- Good attention to detail and accuracy, manage multiple goals and deadlines and while providing valuable support to stakeholders in the realm of quality assurance.
- Knowledge of responsive and tool agnostic design principles, proactively stay up to date on latest technological advancements in the Data space.
Non-Mandatory/ Good to Have Skill:
* Working experience with Hadoop, HBase, Hive or MapReduce is a plus.
- Experience with unstructured text analytics is a plus
- Certified Azure Data Engineer/ Data Brick Certified Data Engineer - Optional
Education
* 3 to 5 years industry experience with a bachelor’s in computer science or related field
About Deloitte
Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited (“DTTL”), its global network of member firms, and their related entities (collectively, the “Deloitte organization”). DTTL (also referred to as “Deloitte Global”) and each of its member firms and related entities are legally separate and independent entities, which cannot obligate or bind each other in respect of third parties. DTTL and each DTTL member firm and related entity is liable only for its own acts and omissions, and not those of each other. DTTL does not provide services to clients. Please see www.deloitte.com/about to learn more.
This communication contains general information only, and none of Deloitte Touche Tohmatsu Limited (“DTTL”), its global network of member firms or their related entities (collectively, the “Deloitte organization”) is, by means of this communication, rendering professional advice or services. Before making any decision or taking any action that may affect your finances or your business, you should consult a qualified professional adviser.
No representations, warranties or undertakings (express or implied) are given as to the accuracy or completeness of the information in this communication, and none of DTTL, its member firms, related entities, personnel or agents shall be liable or responsible for any loss or damage whatsoever arising directly or indirectly in connection with any person relying on this communication. DTTL and each of its member firms, and their related entities, are legally separate and independent entities.
© 2020. For information, contact Deloitte Touche Tohmatsu Limited.
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Requisition code: 209071