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Data AEP Senior Engineer

Min Experience

5 years

Location

remote

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

Senior Data Engineer- AEPWe are combining data, programmatic decisioning, and real-time delivery to build Customer Data Platforms (CDPs), complimented by a suite of client-specific managed services. Adobe Experience Platform, is powerful, flexible, open system for bulding and managing complete solutions that drive customer experience. Experience platform enables organizations to centralize and standardize customer data and content from any system and apply data science and machine learning to deliver consistent interactions at scale across several orchestration layers within any marketing stack. Our engineering team is responsible for building the Adobe Experience Platform. We help thousands of customers collect, manage and synthesize petabytes of data with high fidelity and velocity. We help them make sense of that data, glean insights and run algorithms, so they can deliver delightful experiences in real-time, every time. If building new secure micro-services in the cloud based on open-source technologies at large-scale is something that might interest you, lets share some thoughts, we would like to meet! Work you'll do We rely on powerfully insightful data to inform our systems and solutions—and we're seeking an experienced pipeline-centric Data Engineer to put it to use. Our ideal hire will have the mathematical and statistical expertise you'd expect, combined with a rare curiosity and creativity. You'll wear many hats in this role, but much of your focus will be building out our Python ETL processes and writing superb SQL. Beyond technical prowess, you'll need the soft skills it takes to communicate highly complex data trends to organizational leaders in a way that's easy to understand. We're looking for someone willing to jump right in to help the company get the most out of our data. Your responsibilities will include: Analyze customer use case, available data to prepare for automated & ongoing data ingestion to meet customer requirements Design technical solution with all data ingestion, transformation & scheduling to review & sign-off with customer Identifying AEP enhancements, extending frameworks and incorporating new ideas Closely collaborating with other AEP team members (sales teams, engineers, consultants) and onshore teams for delivering projects Enterprise level software development leveraging Big Data, Cloud technologies & Python Building/operating highly scalable, fault tolerant, distributed systems for extraction, ingestion to process large data sets Experience with data analysis, modeling and mapping to coordinate closely with Data Architect(s) Build the necessary schemas, workflows to ingest customers data into AEP successfully Create necessary identity namespaces, privacy settings and merge poilicys required to build the solution Build Audiences (segmentations) and create necessary pipeline for Destination activation Deploying the final solution to a production environment (or end-state environment) Post-Deployment, provide ongoing maintenance & support of solution & knowledge transfer to offshore support team

About the company

Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities.

Skills

sql
python
java
spark
kafka
hadoop
hdfs
parquet