Data Engineer II

Ampcus Inc; Dallas (TX); Vor Ort; USD 100.000 - 140.000; Vollzeit

Zusammenfassung

Ampcus Inc. is seeking a Data Engineer II to design and build scalable data pipelines and analytics solutions for field teams and business stakeholders.

You will work within the Field Experience, Revenue Lifecycle Automation and Intelligence teams to implement data models, reporting, and dashboards using in-house tools, ensuring reliable data access and performance at scale.

Qualifikationen

• 3 years of data engineering experience.
• 3 years of data modeling, warehousing, and ETL pipelines.
• 3 years of developing and operating large-scale BI data structures.

Aufgaben

• As a Data Engineer II, work in a large data warehouse environment.
• Develop and support analytics technologies for timely data access.
• Design and implement a platform using in-house reporting tools and dashboards.
• Collaborate with business customers to translate requirements into solutions.

Kenntnisse

SQL fluency

Python fluency

ETL pipelines

Tools

AWS Redshift

S3

AWS Glue

EMR

Kinesis

Firehose

IAM roles

Jobbeschreibung

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.

Job Title: Data Engineer II

Job Summary:

The Field Experience (AFX), Revenue Lifecycle Automation and Intelligence (RAIn) team is seeking a passionate, innovative, and results-oriented Data Engineer to design and build scalable solutions that empower our field teams. You'll bring industry best practices and standards to solve complex business problems, define meaningful metrics, and create systems that operate reliably at scale.

Key Responsibilities:

• As a Data Engineer, you will be working in one of the world's largest and most complex data warehouse environments.
• You will be developing and supporting the analytic technologies that give our customers timely, flexible, and structured access to their data.
• You will be responsible for designing and implementing a platform using in-house reporting tools, modeling metadata, building reports, and dashboards in Quick Suite.
• You will work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.

Required Qualifications:

• 3 years of data engineering experience
• 3 years of experience with data modeling, warehousing, and building ETL pipelines
• 3 years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience

Preferred Qualifications:

• Deep SQL fluency
• Deep Python (or equivalent) fluency for orchestration, data quality automation, and pipeline tooling beyond SQL
• Experience with AWS technologies like 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)

Benefits Overview:

• Health & Wellness: Comprehensive pre-tax health, dental, and vision insurance options.
• Life Insurance: Group term life insurance and voluntary life insurance coverage.
• Retirement Savings: 401(k) retirement savings plan to help you plan for your future.

Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.