Data Engineer Level 3

For over half a decade, Hudson Manpower has been a trusted partner in delivering specialized talent and technology solutions across IT, Energy, and Engineering industries worldwide. We work closely with startups, mid-sized firms, and Fortune 500 clients to support their digital transformation journeys. Our teams are empowered to bring fresh ideas, shape innovative solutions, and drive meaningful impact for our clients. If you're looking to grow in an environment where your expertise is valued and your voice matters, then Hudson Manpower is the place for you. Join us and collaborate with forward thinking professionals who are passionate about building the future of work. Core Responsibilities

Design, develop, and optimize

scalable ELT/ETL data pipelines

leveraging

Azure Synapse, Databricks, and PySpark . Build and manage

data lake house architectures

for high-volume eCommerce, marketing, and behavioral datasets. Model complex event-level data (clickstream, transactions, campaign interactions) to power

dashboards, A/B testing, ML models , and

marketing activation . Implement

Delta Lake optimization

and

Databricks Workflows

for performance and reliability. Partner with architects and business analysts to deliver

reusable, high-quality data models

for BI and self-service analytics. Ensure

data lineage, governance, and compliance

using

Unity Catalog

and tools like

Alation . Collaborate with

data scientists

to productionize and operationalize datasets for ML and predictive analytics. Validate and reconcile behavioral data with

Adobe Analytics

and

Customer Journey Analytics (CJA)

to ensure accuracy. Maintain

semantic models

for Power BI dashboards, supporting self-service and advanced analytical insights. Actively participate in

Agile delivery : sprint planning, backlog refinement, technical documentation, and code reviews. Required Qualifications

7+ years

of experience in data engineering, data architecture, or similar roles. Expertise in

Databricks ,

Azure Synapse ,

Delta Lake , and

Spark-based data processing . Strong SQL proficiency for

data transformation and performance tuning . Deep experience with

modern data architectures

(Lakehouse, ELT, streaming). Proven track record in handling

behavioral/eCommerce datasets

and analytics use cases. Hands-on experience with

Unity Catalog

and metadata governance tools (e.g., Alation). Experience with

Adobe Analytics / CJA

data validation preferred. Familiarity with

Power BI ,

Python , and

data orchestration tools

(ADF, Airflow). Strong communication skills with the ability to bridge business needs and engineering solutions. Experience in

Agile environments

with proven leadership in technical delivery.

#J-18808-Ljbffr