ETL Data Engineer (Python & Snowflake)

Hamilton Lane Incorporated; Philadelphia (Philadelphia County); On-site; USD 80,000 - 110,000; Full time

Job summary

A leading financial services firm is seeking an ETL Data Engineer to develop and maintain data engineering processes using Python (PySpark) in Azure Synapse Analytics. The role involves designing effective data storage structures, implementing data quality checks, and collaborating with cross-functional teams. Ideal candidates should have a Bachelor's degree in Computer Science, significant ETL experience, and proficiency in SQL. This position offers opportunities for growth in a dynamic environment.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Proven experience in ETL data engineering using Python (PySpark).
• Proficiency in using Azure Synapse Analytics, including Notebooks and Pipelines.

Responsibilities

• Develop and maintain ETL processes within Azure Synapse Analytics.
• Design effective data storage structures using data warehousing concepts.
• Implement data quality checks and validation processes.

Skills

ETL data engineering

Python (PySpark)

Azure Synapse Analytics

SQL querying

Data modeling

Data quality checks

Git (Azure DevOps)

Data visualization tools

Education

Bachelor’s degree in Computer Science or related field

Tools

Azure Key Vault

Power BI

Tableau

Job description

###* 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.* 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.