drjobs Senior Data Engineer Emerging Tech

Senior Data Engineer Emerging Tech

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1 Vacancy
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Job Location drjobs

Bangalore - India

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

WHAT YOULL DO

We are seeking a skilled and forwardthinking Data Engineer to join our Emerging Tech team. This role is designed for someone passionate about working with cuttingedge technologies such as AI machine learning IoT and big data to turn complex data sets into actionable insights.

As the Data Engineer in Emerging Tech you will be responsible for designing implementing and optimizing data architectures and processes that support the integration of nextgeneration technologies. Your role will involve working with largescale datasets building predictive models and utilizing emerging tools to enable datadriven decisionmaking across the business. Youll collaborate with technical and business teams to uncover insights streamline data pipelines and ensure the best use of advanced analytics technologies.

Key Responsibilities:

  • Lead the design and implementation of data architectures and pipelines to support emerging technologies such as AI machine learning and IoT.
  • Develop and optimize data models and algorithms to process and analyze largescale complex data sets.
  • Implement data governance security and compliance measures to ensure highquality s
  • Collaborate with crossfunctional teams (engineering product and business) to translate business requirements into datadriven solutions.
  • Evaluate integrate and optimize new data technologies to enhance analytics capabilities and drive business outcomes.
  • Apply advanced statistical methods machine learning models and data visualization techniques to deliver actionable insights.
  • Establish best practices for data management including data quality consistency and scalability.
  • Conduct indepth analysis to identify trends patterns and correlations within data to support strategic business initiatives.
  • Stay updated on the latest trends and innovations in data technologies and emerging data management practices.

WHO YOULL WORK WITH

Emerging Tech is at the forefront of strategic disruption on processes and tech exploring and implementing cuttingedge technologies to shape the future of fashion retail. Our team bridges the gap between business and technology leveraging AI immersive experiences automation and new digital capabilities to enhance customer experiences optimise operations and drive sustainable growth. We thrive on experimentation collaboration and rapid iteration to unlock new opportunities and create seamless forwardthinking solutions for the H&M brand.

WHO YOU ARE

We are looking for people with

  • Bachelors or Masters degree in Data Science Computer Science Engineering Statistics or a related field.
  • 5 years of experience in data engineering data science or a similar analytical role with a focus on emerging technologies.
  • Expertise in working with big data technologies (e.g. Hadoop Spark Kafka) and cloud platforms (e.g. AWS Azure GCP).
  • Strong proficiency in programming languages such as Python R SQL and experience with machine learning frameworks (e.g. TensorFlow PyTorch).
  • Experience with data visualization tools (e.g. Tableau Power BI D3.js) to communicate insights effectively.
  •  Familiarity with IoT and edge computing data architectures is a plus.
  • Strong knowledge of data governance privacy and security standards with the ability to ensure compliance and quality.
  • Ability to work with both structured and unstructured data.
  • Excellent problemsolving communication and collaboration skills with the ability to work in a fastpaced crossfunctional team environment.
  • A passion for emerging technologies and a continuous desire to learn and innovate.

And people who are

  • Excited about working in a fastpaced Agile environment.
  • Open to learning and adapting to new technologies and best practices.
  • Team players with strong collaboration and communication skills.

WHO WE ARE

H&M is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design affordable prices and sustainable solutions. We want to liberate fashion for the many and our customers are at the heart of every decision we make.

We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together we want to use our power our scale and our knowledge to push the fashion industry towards a more inclusive and sustainable future.

Help us reimagine fashion and together we will reshape our industry. Learn more about H&M here.

WHY YOULL LOVE WORKING HERE 
At H&M we are proud to be a vibrant and welcoming company. We offer our employees attractive benefits with extensive development opportunities around the globe.

We offer all our employees at H&M attractive benefits with extensive development opportunities around the globe. All our employees receive a staff discount card usable on all our H&M brands in stores and online. Brands covered by the discount are H&M (Beauty and Move included) COS Weekday Monki H&M HOME & Other Stories ARKET Afound. In addition to our staff discount all our employees are included in our H&M Incentive Program HIP. You can read more about our H&M Incentive Program here.

In addition to our global benefits all our local markets offer different competitive perks and benefits. Please note that they may differ between employment types and countries.

JOIN US

Our uniqueness comes from a combination of many things our inclusive and collaborative culture our strong values and opportunities for growth. But most of all its our people who make us who we are.

Take the next step in your career together with us. The journey starts here.

*We are committed to a recruitment process that is fair equitable and based on competency. We therefore kindly ask you to not attach a cover letter in your application.


Remote Work :

No


Employment Type :

Fulltime

Employment Type

Full-time

Company Industry

About Company

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