Tech Lead - Big Data Engineer @ Meeden Labs Hiring

Job Description

Tech Lead Big Data Engineer Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. Whats more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data. Join us to do the best work of your career and make a profound social impact as a Tech Lead Big Data Engineer on our Data Engineering Team in Bangalore. What youll achieve As a Tech Lead, you will work with other engineers and data scientists to solve some of the hardest business problems. You will learn what it takes to build, deploy & scale ML/AI models in real-world (its a hard problem, we assure you. You will build analytical data sets on which models will be built. This would entail two key tasks feature engineering on large datasets and optimization of our pipelines to drive scalability. If you are already good at it, we will make you better. You will: Feature engineering: Stitching together and aggregation of multiple large data sets working with the data scientist to a desired format. You will need to optimize both queries and architecture to support big data sets. SQL is usually the preferred language, but some Spark jobs are necessary. Data pipelining: Once the initial dataset are prepared, it is normally run through a further pipeline to prepare it for modelling. Create features that make ML/AI algorithms work (e.g. translating text into category variables). Python/R is usually the preferred language. Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Heres what we are looking for with this role: Essential Requirements Degree in Business, Computer Science, Engineering, or equivalent professional experience. 8 to 10 years of related experience in a professional role with a Bachelors degree; or 6 to 8 years with a Masters degree. Experience as a technical leader embedded with Data engineering teams operating in Agile methodologies such as Lean Software Development, Extreme Programming or equivalent. Self-directed and ability to build products that drive tangible user outcomes in a fast-paced environment. Willing to work on EMEA time zone. Desirable Requirements Strong and demonstrable external client-facing skills specifically in the areas of communication, issue, and escalation management, with demonstrated ability to drive cross-functional decision making for highly technical solutions. Who We Are We believe that each of us has the power to make an impact. Thats why we put our team members at the center of everything we do. If youre looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, were looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Application closing date: 10th March 2024 Dell Technologies 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. Read the full Equal Employment Opportunity Policy here. Job ID:R241410 Dells Flexible & Hybrid Work Culture At Dell Technologies, we believe our best work is done when flexibility is offered. We know that freedom and flexibility are crucial to all our employees no matter where you are located and our flexible and hybrid work style allows team members to have the freedom to ideate, be innovative, and drive results their way. To learn more about our work culture, please visit our locations page. Job Id: R241410

Employement Category:

Employement Type: Full time
Industry: Consumer Durables / Electronics
Role Category: General / Other Software
Functional Area: Not Applicable
Role/Responsibilies: Tech Lead - Big Data Engineer

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Keyskills:   Data Science Big Data SQL Spark Python R Agile methodologies Communication skills Issue management Escalation management MLAI models Feature engineering Data pipelining