Data engineer

• 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.