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Data Engineer
Deloitte Pleasanton, CA
$137k-168k (estimate)
Full Time | Business Services 2 Weeks Ago
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Deloitte is Hiring a Data Engineer Near Pleasanton, CA

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.
Work You'll Do/Responsibilities
  • The people here don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join the team and help us leave the world better than we found it! This client is looking for an extraordinary data engineer to join our worldwide strategy team.
  • This is an opportunity to join a fast-paced team that plays a key role in the overall success of our organization through technology enablement.
  • Play a critical part in driving our technology vision forward and ensuring that we execute across multiple initiatives.
  • Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management.
  • Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes.
The Team As a part of the US Strategy & Analytics Offering Portfolio, the AI & Data offering provides managed AI, Intelligent Automation, and Data DevOps services across the advise-implement-operate spectrum.
Qualifications Required
  • 5 years of prior experience in a Senior Data Engineering role or as a technical lead on Data Engineering projects
  • Advanced experience working with both relational databases (e.g. Teradata, Vertica, etc.) and Big Data platforms (e.g. Hadoop, etc) required
  • Advanced hands-on experience with Python, Spark (PySpark) programming languages
  • Intermediate understanding of OLAP systems and Data warehousing & Data modelling concepts
  • Advanced experience working on Big Data, BI or Analytics related projects as a technical lead and individual contributor
  • Advanced knowledge of SQL/Hive/Trino
  • Intermediate experience with various performance tuning techniques in Spark/Hive/Teradata
  • Advanced experienced with job schedulers developing shell scripts, CRON, Airflow jobs to automate data workflows
  • Experienced in leading a team of data engineers or individually developing technical solutions to business problems
  • Experienced in leading a team of data engineers or individually working on the implementation of data integration requirements and developing the pipeline of data from raw to curation layers including the cleansing, transformation, derivation and aggregation of data
  • Ability to communicate effectively (written and spoken).
  • Must be able to work onsite in either Cupertino, CA or Austin, TX.
  • Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
  • Candidates must be at least 18 years of age at the time of employment
  • Limited immigration sponsorship may be available
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
  • Must be able to start by July 22, 2024
Preferred
  • Analytical/ Decision Making Responsibilities
  • Analytical ability to manage multiple projects and prioritize tasks into manageable work products
  • Can operate independently or with minimum supervision
  • Excellent Written and Communication Skills
  • Ability to deliver technical demonstrations
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $98,000 to $165,000.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

Job Summary

JOB TYPE

Full Time

INDUSTRY

Business Services

SALARY

$137k-168k (estimate)

POST DATE

06/12/2024

EXPIRATION DATE

07/06/2024

WEBSITE

deloitte.com

HEADQUARTERS

LOS ANGELES, CA

SIZE

>50,000

FOUNDED

1845

TYPE

Private

CEO

BYRON DAVID

REVENUE

$1B - $3B

INDUSTRY

Business Services

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Deloitte is a management consulting firm that provides audit, tax consulting, enterprise risk and financial advisory services for businesses.

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If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

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The data engineer develops and maintains the enterprise data framework for continued use.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

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Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.

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Oil changes are an essential component of preventative maintenance.

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Start with an entry-level position.

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Consider pursuing additional professional engineering or big data certifications.

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Step 3: View the best colleges and universities for Data Engineer.

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