Location
Conshohocken, PA | United States
Job description
Our client is seeking a skilled Data Engineer to join their team at a leading financial company. The ideal candidate will possess expertise in PySpark, Azure Synapse, and ETL processes, with a focus on building and optimizing data pipelines. In this role, you will play a crucial part in designing and implementing scalable solutions for data processing and analytics, collaborating closely with data scientists and analysts to meet the company's data needs. If you are passionate about leveraging cutting-edge technologies to drive insights and innovation in the financial sector, we encourage you to apply and be part of our dynamic team.
Required Skills and Experience:
- Proficiency in PySpark for data processing and analytics.
- Experience with Microsoft Azure services, particularly Synapse Analytics for data warehousing and ETL (Extract, Transform, Load) processes.
- Strong understanding of ETL principles and methodologies.
What You Will be Doing: - Designing, implementing, and maintaining scalable data pipelines using PySpark and Azure Synapse.
- Collaborating with data scientists and analysts to understand data requirements and optimize data workflows.
- Developing and optimizing ETL processes to ensure efficient data ingestion and transformation.
- Troubleshooting and resolving issues related to data quality, performance, and reliability.
- Staying up-to-date with the latest advancements in data engineering technologies and best practices.
The Offer: - Competitive salary commensurate with experience and skills.
- Comprehensive benefits package including health insurance and retirement plans.
- Opportunity to work in a dynamic and innovative environment, collaborating with a talented team of data professionals.
- Professional development opportunities to enhance skills and grow within the organization.
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- Dice Id: 10105282
- Position Id: 732605
Job tags
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