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28/06 Avani
Consultant at Ab Placement

Views:107 Applications:22 Rec. Actions:Recruiter Actions:12

Manager - Data Engineering - Strategy Consulting Firm (10-15 yrs)

Delhi NCR/Gurgaon/Gurugram Job Code: 943259

Hiring for a leading Strategy Consulting firm:

WHAT YOU'LL DO :

- You will collaborate with case teams to gather requirements, specify, design, develop, deliver and support analytic solutions serving client needs. You will provide technical support through deeper understanding of relevant data analytics solutions and processes to build high quality and efficient analytic solutions.

YOU'RE GOOD AT :

- Working with case teams

- Holding end to end responsibility for DE work and high quality outcomes

- Providing expert perspective on methodology and leads scoping, work-planning and day-to-day activities. Delivering on AE projects either directly or by involving other Advanced Analytics team analysts, 3rd party (outsourcers) and sometimes CT/ECT or client staff Working with proposal teams

- Sharing fresh and commercially relevant topic/sector expertise in support of client work & internal development

- Leading selling process to Partners & clients and writes large portions of proposal/selling documents

- Providing institutionalized knowledge on relevant DE value propositions

- Working with topic/sector teams

- Identifying AE gaps and suggests knowledge initiatives to management

- Influencing the shaping & direction of AE knowledge agenda

- Developing, managing & commercializing AE knowledge initiatives, products and services

- Capturing proprietary content as well as AE insights to the knowledge infrastructure

- Upholding the quality of knowledge captured & standardizes processes

- Analytics team management activities

- Participating in resource deployment (staffing) according to business needs

- Playing an active role in recruitment according to business needs

- Designing on-boarding schedule & documents, provides day-to-day apprenticeship & coaching for junior staff

- Assists in long term professional development of Analysts including Lead & Senior Analysts

- Evaluating performance of DE staff

YOU BRING (EXPERIENCE & QUALIFICATIONS) :

- 10+ years of Strong experience in Data Engineering in a professional services environment is highly preferred

- Bachelor's degree or MS/PhD in a Computer Science or related field

- Demonstrated ability to build and operate data pipelines for real customers in production systems within on-prem / cloud environments

- Expert level coding skills in Python, Java and Scala

- Should have implemented multiple ELT (not ETL) projects successfully

- In addition working on large structured data stores, must have working knowledge of unstructured data including video, text, audio, sensor logs

- Deep experience with Spark and/or Hadoop

- Experience wrangling huge amounts of data and exploring new data sets

- Experience creating several data pipelines and reusable data ingestion code packages

- Must have experience or be capable of designing and executing pipeline for real-time analytical use cases and API based analytical use cases

- Experience overseeing the data stream of multiple projects including client deployments, integration and migration efforts

- Proven success with data pipelines and Chef / Puppet / Ansible

- Experience working with Git, Jenkins, Dockers

- Experience building applications that run on AWS, Azure

- Must be exposed to analytical possibilities (no hands-on expected, but having is a plus) in Data Sciences layer such as Neural Nets / Gradient Boosting / Decision Tree, and libraries such as TensorFlow, Torch, Theano

- Experience in BI and Data Warehousing will be an added advantage

- Experience in Retail and Telecom domain is an added advantage

- Experience engineering a Big Data infrastructure and production-grad use cases for Analytics

YOU'LL WORK WITH :

Our technology consultants and specialists partner with our clients and colleagues to build and implement digital solutions through a broad spectrum of activities. Technology jobs and engineering jobs include design of IT architectures, large-scale transformation, agile development, software engineering, cybersecurity consulting, and risk management.

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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