Data Engineer

Job Description

Job Summary We are seeking a highly skilled Data Engineer with expertise in leveraging Data Lake architecture and the Azure cloud platform to develop, deploy, and optimise data-driven solutions. . You will play a pivotal role in transforming raw data into actionable insights, supporting strategic decision-making across the organisation. Responsibilities Design and implement scalable data science solutions using Azure Data Lake, Azure Data Bricks, Azure Data Factory and related Azure services. Develop, train, and deploy machine learning models to address business challenges. Collaborate with data engineering teams to optimise data pipelines and ensure seamless data integration within Azure cloud infrastructure. Conduct exploratory data analysis (EDA) to identify trends, patterns, and insights. Build predictive and prescriptive models to support decision-making processes. Expertise in developing end-to-end Machine learning lifecycle utilizing crisp-DM which includes of data collection, cleansing, visualization, preprocessing, model development, model validation and model retraining Proficient in building and implementing RAG systems that enhance the accuracy and relevance of model outputs by integrating retrieval mechanisms with generative models. Ensure data security, compliance, and governance within the Azure cloud ecosystem. Monitor and optimise model performance and scalability in production environments. Prepare clear and concise documentation for developed models and workflows. Skills Required Good experience in using Pyspark, Python, MLops (Optional), ML flow (Optional), Azure Data Lake Storage. Unity Catalog Worked and utilized data from various RDBMS like MYSQL, SQL Server, Postgres and NoSQL databases like MongoDB, Cassandra, Redis and graph DB like Neo4j, Grakn. Proven experience as a Data Engineer with a strong focus on Azure cloud platform and Data Lake architecture. Proficiency in Python, Pyspark, Hands-on experience with Azure services such as Azure Data Lake, Azure Synapse Analytics, Azure Machine Learning, Azure Databricks, and Azure Functions. Strong knowledge of SQL and experience in querying large datasets from Data Lakes. Familiarity with data engineering tools and frameworks for data ingestion and transformation in Azure. Experience with version control systems (e.g., Git) and CI/CD pipelines for machine learning projects. Excellent problem-solving skills and the ability to work collaboratively in a team environment. Show more Show less