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Data Engineer

Deloitte India Offices of the US
Experience : 4 Years
Education : ME/M.Tech, BE/B.Tech
Location : Hyderabad
Posted on 14 Oct 20
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Job DescriptionLast Date 14 Dec 20
SCAM ALERT: Caution against fraudulent job offers!
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SCAM ALERT

Caution against fraudulent job offers!

We have been informed of instances where jobseekers are led to believe of fictitious job opportunities with Deloitte India (“Deloitte”) In one or more such cases, false promises of actual or potential selection, or initiation or completion of the recruitment formalities appear to have been or are being made Some jobseekers appear to have been asked to pay money to specified bank accounts of individuals or entities as a condition of their selection for a ‘job’ with Deloitte These individuals or entities are in no way connected with Deloitte and do not represent or otherwise act on behalf of Deloitte

We Would Like To Clarify That
  • At Deloitte, ethics and integrity are fundamental and not negotiable
  • We are against corruption and neither offer bribes nor accept them, nor induce or permit any other party to make or receive bribes on our behalf
  • We have not authorised any party or person to collect any money from jobseekers in any form whatsoever for promises of getting jobs in Deloitte
  • We consider candidates only on merit and that we provide an equal opportunity to eligible applicants
  • No one other than an authorised official of Deloitte is permitted to confirm any job offer from Deloitte

Anyone who at any time has made or makes any payment to any party against promises of job or selection for a job with Deloitte or any matter related to this (including those for ‘registration’, ‘verification’ or ‘security deposit’) or otherwise engages with any such person who has made or makes fraudulent promises or offers, does so (or has done so) entirely at their own risk Deloitte takes no responsibility or liability for any such unauthorised or fraudulent actions or engagements

We encourage jobseekers to exercise caution If you have queries about the veracity of a job offer you have received which relates to Deloitte or would like to report a fraud with regard to job offers with Deloitte, please send an email to inhiringalert@deloittecom

Deloitte’s Risk & Financial Advisory Services (Advisory) helps organizations effectively navigate business risks and opportunities — from strategic, reputation, and financial risks to operational, cyber, and regulatory risks — to gain competitive advantage We are the business leaders in risk management, and work with a vision to make the world trustworthy, and safe Our clients are large, complex organizations that constantly evolve and innovate to build better products and services Our teams help clients embrace complexity, accelerate change and manage the various risks that they may encounter during this process

At Advisory, we are creating a world-class Artificial Intelligence and Machine Learning (AI/ML) capability to enhance existing services and empower our clients Our focus is on bringing data, AI/ML, and technology together with our deep expertise in multiple industries to drive new product development and significant automation/efficiencies

We are seeking to grow our team with brilliant and diverse contributors with strong technical ability We are looking for talented Data Scientists/Engineers with experience in building robust data processing systems and software engineering
Work you’ll do 
As a Data Scientist / Engineer working for the Advisory AI Center of Excellence (CoE), you’ll collaborate and work with teams across the firm to build robust data pipelines and processes that stitch together complex datasets

You’ll
  • Lead data science / engineering projects to build large scale, high-performance data processing systems and pipelines that are reliable, efficient, testable, & maintainable
  • Work with technical team and senior management stakeholders to understand their data and transform to usable models for insight generation
  • Work with the technical team and broader technology teams to implement data flows/pipelines for AI/ML solutions and services
  • Help business teams identify and generate insights from large volumes of data including Big Data
  • Design data models for optimal storage and retrieval and to meet critical product and business requirements
  • Contribute to shared Data Engineering tooling & standards to improve the productivity and quality of output for Data Engineers across the company
  • Participate and contribute to the creation of proofs of concept as part of pursuit / sales cycles
  • Work with client and internal stakeholders to troubleshoot data discrepancies and implement scalable solutions
  • Contribute to the creation and maintenance of documentation, user guides, and training materials 
The team 

The Advisory AI CoE is a core group of highly specialized individuals whose mission is to transform a $15B business through AI/ML technologies Our team helps the business by partnering and strategically advising them on identifying opportunities and applying AI/ML technologies to enhance business solutions and processes

Deloitte has been recognized as a leader by a number of independent analyst firms Gartner named Deloitte as #1 for its vision in Analytics and Data Services Source: Gartner’s 2020 Data and Analytics Service Providers Magic Quadrant Reproduced under license

Required

Qualifications and Experience 
  • Bachelor’s degree in (any of) Engineering, Information Technology, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, or related fields
  • 6 years’ experience in Data Engineering or similar role
  • Experience in writing complex SQL and ETL development with experience processing large datasets within cloud-based data warehouses like Snowflake, Google BigQuery, and Amazon Redshift
  • Knowledge in data warehousing architecture and concepts
  • Experience in Python
  • Excellent verbal and written-communication skills 
Preferred
  • Master’s or advanced certifications in Information Technology, Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics or relatedfields
  • Experience designing and deploying high performance systems with reliable monitoring and logging practices
  • Working knowledge of machine learning
  • Effectively work across team boundaries to establish overarching data architecture, and provide guidance to individual teams
  • Proficiency in Linux environment (including shell scripting and experience with version control practices and tools (Git, Perforce, etc)
  • Familiarity with containerization technology such as Docker, Kubernetes 

How You’ll Grow

At Deloitte, we’ve invested a great deal to create a rich environment in which our professionals can grow We want all our people to develop in their own way, playing to their own strengths as they hone their leadership skills And, as a part of our efforts, we provide our professionals with a variety of learning and networking opportunities—including exposure to leaders, sponsors, coaches, and challenging assignments—to help accelerate their careers along the way No two people learn in the same way So, we provide a range of resources including live classrooms, team- based learning, and eLearning DU: The Leadership Center in India, our state-of-the-art, world-class learning Center in the Hyderabad offices is an extension of the Deloitte University (DU) in Westlake, Texas, and represents a tangible symbol of our commitment to our people’s growth and development

Benefits

At Deloitte, we know that great people make a great organization We value our people and offer employees a broad range of benefits Learn more about what working at Deloitte can mean for you

Deloitte’s culture 

Our positive and supportive culture encourages our people to do their best work every day We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware We offer well-being programs and are continuously looking for new ways to maintain a culture that is inclusive, invites authenticity, leverages our diversity, and where our people excel and lead healthy, happy lives Learn more about Life at Deloitte

Corporate citizenship 

Deloitte is led by a purpose: to make an impact that matters This purpose defines who we are and extends to relationships with our clients, our people and our communities We believe that business has the power to inspire and transform We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities Learn more about Deloitte’s impact on the world

Instead, Services Are Primarily Provided By The Subsidiaries Of Deloitte LLP, Including

In the United States, Deloitte LLP is the member firm of DTTL Like DTTL, Deloitte LLP does not provide services to clients
  • Deloitte & Touche LLP
  • Deloitte Consulting LLP
  • Deloitte Financial Advisory Services LLP
  • Deloitte Tax LLP
  • Data Engineer
  • Experience : 4
  • Job Type : Full Time
  • Interview Type : Face to Face Interview


Job Type : Full Time
Interview Type : Face to Face Interview
Company Description
About Deloitte

Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited, a UK private company limited by guarantee (“DTTL”),its network of member firms, and their related entities. DTTL and each of its member firms are legally separate and independent entities. DTTL (also referred to as “Deloitte Global”) does not provide services to clients. In the United States, Deloitte refers to one or more of the US member firms of DTTL, their related entities that operate using the “Deloitte” name in the United States and their respective affiliates. Certain services may not be available to attest clients under the rules and regulations of public accounting. Please see www.deloitte.com/about to learn more about our global network of member firms.
distinct legal entities, which cannot obligate each other. DTTL and each DTTL member firm are liable only for their own acts or omissions and not those of each other. Each DTTL member firm is structured differently in accordance with national laws, regulations, customary practice, and other factors, and may secure the provision of professional services in its territory through subsidiaries, affiliates and/or other entities.
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