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Analytical Skill
Amazon Redshift
Amazon S3
Amazon SageMaker
Amazon Web Services
Apache Spark
Brokerage
Cloud Computing
Collaboration
Communication
Computer Science
Conflict Resolution
Continuous Delivery

Summary

Must have and focus will be on python, sagemaker, spark, CICD with jenkins

Candidates must take a test

Data Engineeer - Vanguard

Onsite 3 days a week in Malvern PA.

Rate:45/h on wob

Role Overview:

We are seeking a mid-level Data Engineer (3–5 years of experience) to join our Brokerage and Investment team. You will act as a senior engineer, engaging directly with business analysts and stakeholders to translate complex requirements into robust, global data solutions. This is a front-office role, so excellent communication skills and the ability to work independently with minimal hand-holding are essential.

Technical Stack & Requirements:

Core Competencies: AWS, Glue, S3, IAM, Redshift, Python, Spark.
Development Environment: Experience with Amazon SageMaker is mandatory, as this is our primary environment for code development before production deployment.
Pipeline Management: Experience building end-to-end data pipelines, managing SFTP connections, and integrating with diverse data sources (Data Lakes, flat files, etc.).
Infrastructure & Automation: Experience with SNS notifications and CI/CD tools (Jenkins) to ensure process efficiency.
Nice-to-Have Skills: Experience with Databricks or Snowflake is highly desirable as we transition toward these platforms.
Data Modeling: Proficiency in designing data models and creating multi-layered data structures to feed executive and operational reports.

Key Responsibilities:

Manage priorities across multiple workstreams and handle production support as needed.
Maintain robust pipelines with automated checks, particularly for event-driven jobs.
Communicate effectively with external vendors and internal business stakeholders to gather requirements and provide solutions.
Collaborate with senior engineering staff to ensure the security and integrity of our AWS development environments.

Required Qualifications

5+ years of Data Engineering or IT experience.
4+ years of AWS cloud development experience.
Expert Python programming skills.
Experience with Sagemaker.
Robust hands-on experience with Apache Spark / PySpark.
Experience building cloud-native ETL pipelines.
Robust understanding of distributed computing.
Experience designing scalable data models.
Experience with Git and CI/CD pipelines.
Robust analytical and problem-solving skills.
Build scalable and auto recoverable pipelines.
Bachelor''s degree in Computer Science, Engineering, Information Systems, or related discipline.
Working directly with business SME’s and stakeholders.

Good to have

Experience with Databricks tool.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10451163
Position Id: 9032575
Posted 1 day ago

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Ajay Bharath

Recruiter @ Innovative IT Solutions Inc

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