Data Engineer

Overview

On Site
Contract - Independent

Skills

Database
Real-time
Analytical Skill
Data Analysis
Regression Testing
SQL
Data Modeling
Python
Extract
Transform
Load
Pandas
Data Wrangling
Cloud Computing
Amazon S3
Data Quality
Regulatory Compliance
Analytics
Continuous Integration
Continuous Delivery
Version Control
Git
Bamboo
Bitbucket
Big Data
Apache Spark
Collaboration
Requirements Elicitation
Orchestration
Step-Functions
Amazon Web Services
Privacy
Marketing

Job Details

Location: Malvern, PA
Description: Our large, FINTECH client in Malvern, PA is currently seeking a Data Engineer (Contract/Hybrid).

Hybrid Work Schedule:
Onsite = Tues/Wed/Thurs

WFH = Mon/Fri

Responsibilities

1. Writes ETL (Extract / Transform / Load) processes, designs database systems and, develops tools for real-time and offline analytic processing.

2. Troubleshoots software and processes for data consistency and integrity. Integrates complex and large scale data from a variety of sources for business partners to generate insight and make decisions.

3. Integrates a complex data ecosystem spanning across a multitude of Products, data stores, and repositories in order to drive insights into the current landscape of our Egress Risk.

4. Partners with internal clients to gain an expert understanding of business functions and informational needs. Works closely with other technical and data analytics experts across the business to implement data solutions.

5. Tests and implements new software releases through regression testing. Identifies issues and engages with vendors to resolve and elevate software into production.

Qualifications

Must-Have Skills

SQL & Data Modeling - Strong ability to design schemas and write optimized queries.

Python for ETL/Automation - Building pipelines using Pandas for data wrangling and transformation.

Cloud Data Services - Dremio, AWS Glue, S3, Lambda etc.

Data Quality & Governance - Implementing validation, lineage, and compliance checks.

Creating Data Products & Views - Ability to design curated datasets, materialized views, and reusable data assets for analytics.

CI/CD & Version Control - Git, Bamboo, Bitbucket.

Proactive Infrastructure Setup - Ability to design and implement scalable, secure data infrastructure for the team, ensuring readiness for future growth.

Nice-to-Have Skills

Big Data Frameworks - Spark for distributed processing.

Collaboration & Requirement Gathering - Work closely with cross-functional teams to understand business needs and translate them into technical solutions.

Orchestration Tools - Airflow or AWS Step Functions.

Monitoring & Logging - AWS CloudWatch for pipeline health and alerting.

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Contact:

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