Data Engineer (FlexCube)

The Select Group; Raleigh (NC); Remote; USD 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a Data Engineer to lead the FlexCube Upgrade Project. This role involves designing and maintaining data pipelines, ensuring data quality, and mentoring junior engineers. The ideal candidate will have strong skills in Python, SQL, and ETL tools, alongside a passion for learning new technologies. Join a dynamic team where your contributions will drive impactful data solutions and enhance data applications. If you're ready to take on a leadership role in data engineering and make a difference, this opportunity is perfect for you.

Qualifications

• Strong experience in data engineering with expertise in SQL and Python scripting.
• Proficient in ETL tools like SAP BODS and Informatica IICS.

Responsibilities

• Lead the design, development, and maintenance of data applications for the Flexcube Upgrade project.
• Ensure data quality integrity and perform troubleshooting on data applications.

Skills

Data Engineering

Python/Unix scripting

SQL

SAPS BODS ETL Tools

Informatica IICS

Redwood Scheduler

Tools

AWS

Snowflake

Job description

Job Title: Data Engineer (FlexCube)
Location: REMOTE
Start Date: 4/1
Job Duration: 8 months
# of Openings:1

Project:
FlexCube Upgrade Project

Requirements:

• SAPS BODS ETL Tools
• Data Engineering
• Informatica IICS
• Redwood Scheduler
• Very strong in Python/Unix scripting
• Very Strong in SQL

Nice to Have:

• AWS
• Snowflake

Day to day responsibilities:

• This position needs to perform a lead data engineer role to manage the design, development and maintenance of data applications including “Flexcube Upgrade” initiative.
• Design – Data pipeline design, development and maintenance.
• Quality – Data quality integrity, security and integration testing.
• Maintenance – Troubleshooting to identify and resolve issues with data applications.
• Mentoring – Guide and mentor data engineers both onsite and offshore.
• Solutions – Driving guidelines for data engineering workflows – collection, ingestion, cleansing, storage and serving.
• Learning – Learn new technologies and open to work on legacy data warehouse application tools and technologies.
• Data Modeling – Dimensional modeling design to optimize storage and data access for analytical purposes.
• SQL – Expertise in complex SQL queries to extract, transform and load data.
• Data Warehouse – Data warehouse design, architecture and optimization techniques for large datasets.
• ETL – Design and implement Extract, Transform, Load pipelines to prepare data for analysis.
• Testing – Testing the data pipelines, ensuring the quality and reliability of data flowing through the system, mentoring test engineers in building comprehensive test strategies.
• Collaborate with stakeholders to understand their data needs and develop appropriate data solutions.
• Conduct UAT and end user training.
• SAP BODS, IICS, DataStage, Oracle, Netezza, Python & Redwood.
• SAP BODS, Oracle, PLSQL, Snowflake, AWS Services like S3, Glue, Lambda, DynamoDB, Redshift.

TSG 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, disability, or status as a protected veteran.
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