Data Engineer

Hamilton Lane is a recognized leader in providing Private Markets Solutions to clients across the globe. They are seeking a talented ETL Data Engineer to design, develop, and maintain ETL data integration processes, ensuring the accuracy and availability of data for analytical needs.

Responsibilities:

• ETL Data Engineering: Develop and maintain ETL data engineering processes using Python (PySpark) within Azure Synapse Analytics Notebooks, and/or Azure Synapse Analytics Pipelines, to ensure efficient data extractions, transformation, and loading
• Data Warehousing: Apply your expertise in data warehousing, understanding star schemas, facts, and dimensions, to design and build effective data storage structures in a Massively Parallel Processing (MPP) SWL Pool
• Data Source Expertise: Extract data from various sources, including REST APIs, SWL database tables, and CSV files
• Azure Synapse Analytics Expertise: Utilize your deep knowledge of Azure Synapse Analytics to design and optimize data notebooks/pipelines for scalability and performance
• Data Fabric Concepts: Contribute to the implementation and understanding of other Data Fabric concepts, such as data lakes, lakehouses, delta lakes, and data cataloging, to enhance data management capabilities
• Data Modeling: Collaborate with data architects to create data models and schemas that align with business requirements
• Data Quality: Implement data quality checks and validation processes to maintain data accuracy and consistency
• Performance Tuning: Identify and resolve performance bottlenecks and optimize ETL data notebooks/pipelines to meet SLAs
• Monitoring and Troubleshooting: Monitoring ETL jobs, diagnose issues, and implement solutions to ensure data pipeline reliability
• Documentation: Maintain comprehensive documentation of ETL data engineering processes, data flows, and data transformations
• Collaboration: Work closely with cross-functional teams to understand data requirements and provide support for data-related initiatives
• Security and Compliance: Ensure data security and compliance with data governance and privacy standards

Requirements:

• Bachelor's degree in Computer Science, Information Technology, or a related field; or equivalent work experience, with certifications related to data engineering or data science (e.g. Azure Data Engineer) being a plus
• Proven experience in ETL data engineering with significant expertise in using Python (PySpark) to perform data extraction, transformation, and loading from REST APIs, SQL database tables, and CSV files
• Proficiency in using Azure Synapse Analytics resources including Notebooks, Pipelines, Linked Services, and Azure Key Vault
• Demonstrated ability to write complex SQL queries, optimize query performance, and work with both SparkSQL and MS SQL to effectively extract, transform, and load data
• Knowledge of data integration best practices and tools
• Experience with version control systems, such as Git (Azure DevOps)
• Strong problem-solving and analytical skills, with a keen attention to detail
• Excellent communication skills, both verbal and written, with the ability to work collaboratively in a team environment with shifting priorities
• Familiarity with big data technologies, machine learning, and data analysis preferred
• Experience with data visualization tools (e.g. Power BI, Tableau) and Agile Methodologies a plus