Data Engineer

Peoplentech Llc

Santa Clara, CA, United States

2 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Compensation

$135,200.0

Working hours

Regular working hours

Job source

www.careerbuilder.com

Tech stack

Amazon Web Services Data Analysis Microsoft Azure Big Data Cloud Computing Databases Extract Transform Load (ETL) Data Mining Data Structures Data Warehousing Dimensional Modeling Performance Tuning

+13 more

Query Optimization SAP (Applications) SAP NetWeaver Data Management SAP Sales and Distribution SQL Databases Data Processing Freeform SQL Sql Optimization Snowflake Build Management Star Schema Data Management Data Pipelines

Job description

We are seeking a Senior Data Engineer with strong expertise in SAP sales data domains and data warehouse development. The ideal candidate will have deep proficiency in SQL, hands-on experience working with SAP data as source (orders, shipments, backlog, invoices), and the ability to design and build robust data pipelines and models., * Design, develop, and maintain data pipelines for SAP sales data (orders, shipments, backlog, invoices)

Translate SAP data structures into analytics-ready data models within Snowflake enterprise data warehouse
Perform data extraction, transformation, and loading (ETL/ELT) from SAP into Snowflake medallion layers
Build and optimize complex SQL queries for large-scale data processing
Collaborate with business and analytics teams to ensure accurate representation of sales metrics
Ensure data quality, consistency, and performance optimization across pipelines
Support reporting and analytics use cases related to sales performance and operations

Requirements

Strong SAP data expertise (SD module preferred) demonstrates deep understanding of: Sales Orders, Shipments / Deliveries, Backlog, Billing / Invoices
Advanced SQL proficiency (must-have)
Proven experience in data warehouse development (dimensional modeling, fact/dimension design, etc.)
Experience as a Senior Data Engineer in enterprise environments
Strong understanding of data integration patterns and ETL/ELT design

Nice to Have

Experience with Snowflake, dbt
Exposure to modern cloud data platforms (AWS/Azure), Amazon Web Services (AWS), Billing, Cloud Computing, Data Analysis, Data Management, Data Modeling, Data Processing, Data Quality, Data Structures, Data Warehousing, Database Extract Transform and Load (ETL), Dimensional Modeling, Metrics, Microsoft Windows Azure, Performance Tuning/Optimization, Query Optimization, SAP, SQL (Structured Query Language), Sales, Sales Operations, Sales Pipeline, Snowflake Schema, Use Cases