Data Modeler

Dautom; Riyad Al Khabra; Hybrid; SAR 120,000 - 180,000; Full time

Job summary

An established industry player is seeking a skilled Data Modeler to join their innovative team. This role offers the chance to work with advanced analytics tools and manage data pipelines, ensuring seamless integration of data science outputs into business workflows. With a strong emphasis on collaboration and communication, you will engage with both technical and non-technical stakeholders, enhancing the quality and efficiency of data management processes. The company is committed to fostering professional growth and offers flexible work arrangements, making it an ideal environment for those looking to advance their careers in data analytics.

Benefits

Competitive salary and bonus structure

Comprehensive health and wellness benefits

Opportunities for professional development

Flexible work arrangements

Employee recognition programs

Qualifications

• 4+ years of experience in data modeling and analytics.
• Strong SQL and ETL process skills required.

Responsibilities

• Design and manage data pipelines and models.
• Work with teams to integrate analytics into business processes.

Skills

Data Modeling

SQL

ETL Processes

Communication Skills

Data Warehouse

NoSQL

R Programming

Python

Java

Team Management

Education

Bachelor's Degree in Computer Science or related field

Tools

Erwin

ER Studio

ODI

KNIME

MongoDB

Cassandra

Job description

In this role, you will have the opportunity to work closely with one of our esteemed clients, known for its commitment to quality and innovation. They have chosen Dautom as their trusted partner for their upcoming projects.

Job Title: Data Modeler

Job Description:

1. At least +4 years in the same field.
2. 2+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols).
3. Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.
4. Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required.
5. Experience in team management, communication, and presentation.
6. Experience with SQL, ODI, and ETL/ELT.
7. Experience building or maintaining ETL processes.
8. Communication skills, especially explaining technical concepts to non-technical business leaders.

Technical Knowledge/Skills:

1. Strong experience with advanced analytics tools for Object-oriented/object function scripting using languages such as R, Python, Java, KNIME, others.
2. Strong ability to design, build and manage data pipelines for data structures encompassing data transformation, data models, schemas, metadata, and workload management. The ability to work with both IT and business in integrating analytics and data science output into business processes and workflows.
3. Strong experience with popular database programming languages including SQL, PL/SQL, others for relational databases and certifications on upcoming NoSQL/Hadoop oriented databases like MongoDB, Cassandra, others for nonrelational databases.

Benefits and Perks:

1. Competitive salary and bonus structure.
2. Comprehensive health and wellness benefits.
3. Opportunities for professional development and growth.
4. Flexible work arrangements, including remote work options.
5. Employee recognition programs and a collaborative team environment.