Data engineer

Job Description

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.