SQL Developer with SAP ERP Module

Hybrid in Atlanta, GA, US • Posted 1 day ago • Updated 2 hours ago

Contract W2

No Travel Required

Hybrid

Depends on Experience

Fitment

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Job Details

Skills

Amazon Redshift
Amazon Web Services
Analytical Skill
Apache Airflow
Cloud Computing
Collaboration
Continuous Delivery
Continuous Integration
Data Engineering
Data Governance
Data Quality
Data Validation
Data Warehouse
Database
Database Design
Database Performance Tuning
ELT
Extract
Transform
Load
Git
Good Clinical Practice
Google Cloud Platform
Management
Microsoft Azure
Microsoft SQL Server
MySQL
Oracle
Orchestration
PostgreSQL
RDBMS
Regulatory Compliance
Reporting
SAP
SAP ERP
SQL
Snow Flake Schema
Stored Procedures
Version Control
Workflow

Summary

Role: SQL Developer with SAP ERP Module

Location: Atlanta, GA || Hybrid (Tuesday/Wednesday/Thursday – Onsite)

Experience: 10+ Years

Job Type: W2

Job Description:

We are seeking a skilled SQL Developer with data engineering experience to join our client''s team.
This role will be responsible for designing, developing, and optimizing SQL queries and managing data pipelines.
The ideal candidate will have strong SQL expertise and hands-on experience with modern data engineering tools and cloud platforms.

Required Qualifications

8+ years of experience in SQL development and database design.
Solid understanding of relational database systems (e.g., PostgreSQL, MySQL, SQL Server, Oracle).
Experience with at least one major cloud platform: AWS, Google Cloud Platform, or Azure.
Proficiency in data pipeline and orchestration tools
Prior experience working on an SAP project
Experience with modern data warehouses (e.g., Snowflake, Redshift, BigQuery).

Key Responsibilities

Design, write, and optimize complex SQL queries, stored procedures, and database functions for analytical and operational workloads.
Build and maintain scalable ETL/ELT pipelines to ingest, transform, and store data from various sources.
Develop and manage data models and database schemas for analytical and reporting purposes.
Collaborate with data analysts, data scientists, and business stakeholders to deliver clean, reliable, and well-documented data.
Monitor data quality and implement data validation and profiling checks.
Participate in database performance tuning and troubleshooting.
Work with cloud data platforms (e.g., AWS, Azure, Google Cloud Platform)
Use tools such as Apache Airflow, dbt, or similar to orchestrate and manage data workflows.
Implement best practices for data governance, security, and compliance.
Support CI/CD practices for data pipelines and version control using Git.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91159525
Position Id: 8933084
Posted 1 day ago

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