Flexible Schedule Job Data Engineer II, Workforce Intelligence Job ID- 1865

MaziCTools; United States; Hybrid; USD 110,000 - 140,000; Full time

Job summary

Amazon is seeking a Data Engineer within Workforce Intelligence to design and operate large-scale analytics data structures and ingestion pipelines. You will partner with Software Engineers, Data Scientists and BI Engineers to transform data into usable formats for analytics and reporting.

You will work on implementing real-time and batch data flows, optimize the data warehouse, and enable end-user reporting via tools like Tableau or AWS QuickSight.

Qualifications

• 3+ years of data engineering experience.
• Experience with data modeling, warehousing and building ETL pipelines.

Responsibilities

• Design, implement and operate large-scale, high-volume analytics data structures.
• Implement real-time and batch data ingestion pipelines using AWS and big data tools.
• Translate requirements into robust, scalable data architecture.
• Collaborate with engineers to adopt best practices in data system creation, validation and documentation.
• Improve reporting and analytics processes, automate self-service modeling and production support.

Skills

Data engineering

ETL pipelines

Data modeling

Tools

AWS data tools (Redshift, S3, Glue, EMR, Kinesis, Firehose, Lambda, IAM)

Job description

At Amazon, we’re working to be the most customer‑centric company on earth. To get there, we need exceptionally talented, bright, innovative and driven leaders who can help build the place to find and buy anything online. This role offers a chance to be intimately involved in growing our business by leading and supporting hourly staffing initiatives.

The vision of Workforce Intelligence is to design the ideal workforce to meet the customer promise anywhere. The Workforce Intelligence team applies data and insights to optimize the experience and operations for Amazon’s largest candidate population – Tier1 Associates, who bring the magic of Amazon’s industry‑leading Customer Fulfillment experience to life.

In This Role, You Have The Opportunity To

• Design, implement and operate large‑scale, high‑volume, high‑performance data structures for analytics and data science.
• Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and big data tools.
• Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.
• Collaborate with engineers to help adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation.
• Help continually improve ongoing reporting and analysis processes, automating or simplifying self‑service modeling and production support for customers.

Key Job Responsibilities

As a Data Engineer with Workforce Intelligence, you will partner with Software Engineers, Data Scientists and Business Intelligence Engineers. You will gain a deep understanding of our services and the data they produce, and become our resident expert in how to transform that data into a format that is useful for analytics and business intelligence. You will proactively help to identify new data for integration with our platform and propose and implement new technologies to better understand our data.

In this role, you will serve as the expert in designing, implementing, and operating a stable, scalable, low‑cost environment to flow information from the source systems to the data warehouse and into end‑user facing reporting applications such as Tableau or AWS QuickSight. Above all, you will bring large datasets together to answer business questions and drive data‑driven decision making.

About The Team

The Workforce Intelligence team supports the Workforce Staffing organization by transforming data into insights on high‑volume hiring within Amazon. While WFS is responsible for the management of the Tier1 talent supply chain, the Workforce Intelligence team focuses on defining analytics that measure the performance of the program and identifying efficiencies in the process path through the power of data and predictive analytics.

Basic Qualifications

• 3+ years of data engineering experience.
• Experience with data modeling, warehousing and building ETL pipelines.

Preferred Qualifications

• Experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM roles and permissions.
• Experience with non‑relational databases / data stores (object storage, document or key‑value stores, graph databases, column‑family databases).
• Experience with Airflow, Step Functions, or other orchestration frameworks.

Data Engineer II, Workforce Intelligence Flexible Schedule Job Data Engineer II, Workforce Intelligence Job ID- 1865