At a Glance
- Tasks: Architect and optimise data pipelines for B2B services and financial initiatives.
- Company: Join a leading firm in the financial services sector with a focus on innovation.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on advanced analytics and cloud technologies.
- Why this job: Make a significant impact by ensuring data integrity for core financial systems.
- Qualifications: Bachelor's degree in Computer Science and 7+ years of Data Engineering experience required.
The predicted salary is between 63000 - 77000 £ per year.
(Medallion Architecture). Infrastructure
Cloud Formation/Terraform, CI/CD with Git Hub Actions.
Core
Responsibilities: Orchestrate data extraction from diverse legacy and modern sources, engineer high-performance scalable pipelines, and provide expert-level production support to ensure system reliability.
Qualifications
Bachelor’s degree in Computer Science or related field.
- Strong hands-on experience with Apache Spark and Glue.
- Proven ability to work with Python-based data pipelines.
- Experience with Git and Git Hub Actions is mandatory.
- Required Qualifications
Bachelor's degree in Computer Science, Engineering, Information Systems, or related discipline.
- 7+ years of enterprise Data Engineering experience. Strong Python development experience. Advanced SQL programming skills.
- Extensive experience with Apache Spark and Py Spark.
- Hands-on experience with AWS data services including: S3 AWS Glue Athena Lambda Step Functions Event Bridge Experience building enterprise ETL and ELT pipelines.
- Strong understanding of distributed data processing.
- Experience working with large-scale cloud data platforms. Strong knowledge of dimensional data modeling.
- Experience implementing CI/CD pipelines. Familiarity with Agile/Scrum methodologies.
- Excellent communication and stakeholder management skills.
- Preferred Qualifications
- Financial Services or Asset Management industry experience.
- Experience with Snowflake or Databricks.
- Knowledge of Apache Iceberg, Delta Lake, or Hudi.
- Experience with Airflow. Knowledge of Kafka or Kinesis streaming.
- Experience supporting AI/ML and advanced analytics platforms. AWS Professional or Specialty Certifications.
Job Responsibilities
- We are seeking high-caliber Data Engineers to drive the B2B Service Experience and Financials initiatives.
- In this pivotal role, you will architect, implement, and optimize sophisticated data pipelines, partnering with business analysts to guarantee the seamless availability and absolute integrity of data powering our core financial engines and reporting ecosystems.
- #J-18808-Ljbffr
Sr Data Engineer, Malvern, PA, US employer: Intellibee
As a Python/DevOps Engineer at our Durham, NC location, you will thrive in a dynamic work culture that prioritises innovation and collaboration. We offer competitive benefits, including professional development opportunities and a commitment to employee growth, ensuring you can advance your skills while contributing to meaningful projects that enhance the developer experience across multiple teams. Join us to be part of a forward-thinking environment where your expertise in automation and cloud infrastructure will make a significant impact.
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We think this is how you could land Sr Data Engineer, Malvern, PA, US
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We think you need these skills to ace Sr Data Engineer, Malvern, PA, US
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✨Brush Up on Your Statistics
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
