Job
Description
Job Title: Data Engineer Company : Aqilea India(Client : H&M India) Employment Type: Full Time Location: Bangalore(Hybrid) Experience: 4.5 to 9 years Client : H&M India At H&M, we welcome you to be yourself and feel like you truly belong. Help us reimagine the future of an entire industry by making everyone look, feel, and do good. We take pride in our history of making fashion accessible to everyone and led by our values we strive to build a more welcoming, inclusive, and sustainable industry. We are privileged to have more than 120,000 colleagues, in over 75 countries across the world. Thats 120 000 individuals with unique experiences, skills, and passions. At H&M, we believe everyone can make an impact, we believe in giving people responsibility and a strong sense of ownership. Our business is your business, and when you grow, we grow. Website : https://career.hm.com/ We are seeking a skilled and forward-thinking Data Engineer to join our Emerging Tech team. This role is designed for someone passionate about working with cutting-edge 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 next-generation technologies. Your role will involve working with large-scale datasets, building predictive models, and utilizing emerging tools to enable data-driven decision-making across the business. You ll collaborate with technical and business teams to uncover insights, streamline data pipelines, and ensure the best use of advanced analytics technologies. Key Responsibilities: Design and build scalable data architectures and pipelines that support machine learning, analytics, and IoT initiatives. Develop and optimize data models and algorithms to process and analyse large-scale, complex data sets. Implement data governance, security, and compliance measures to ensure high-quality Collaborate with cross-functional teams (engineering, product, and business) to translate business requirements into data-driven solutions. Evaluate, integrate, and optimize new data technologies to enhance analytics capabilities and drive business outcomes. Apply 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 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. Skills Required : Bachelors or masters degree in data science, Computer Science, Engineering, Statistics, or a related field. 4.5-9 years of experience in data engineering , data science, or a similar analytical role, with a focus on emerging technologies. Proficiency with big data frameworks (e.g., Hadoop, Spark, Kafka) and experience with modern cloud platforms (AWS, Azure, or GCP). Solid skills in Python, SQL, and optionally R, along with experience using machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch. Experience with data visualization tools (e.g., Tableau or Power BI or D3.js) to communicate insights effectively. Familiarity with IoT and edge computing data architectures is a plus. Understanding of data governance, compliance, and privacy standards. Ability to work with both structured and unstructured data. Excellent problem-solving, communication, and collaboration skills, with the ability to work in a fast-paced, cross-functional team environment. A passion for emerging technologies and a continuous desire to learn and innovate. Interested Candidates can share your Resumes to mail id karthik.prakadish@aqilea.com
