Overview
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
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.
- 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.
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