Data Engineer (Python) - Immediate Joining (3 Months)
At a glance
Mid-level Data Engineering role at Müller`s Solutions. Dhahran.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain ETL/ELT pipelines that ingest and process data from internal and external sources
- Use Airflow to run data workflows, and Python, Pandas and NumPy to process datasets
- Create SQL queries and BigQuery data models, improving query performance where needed
- Develop APIs and backend services for data exchange and data-driven applications
- Support master data management and inventory optimization through data processing and business logic
What you bring
- You have five to six years in data engineering or a related role
- You bring hands-on experience with Python, Pandas, NumPy, Airflow, BigQuery, SQL and API development
- You have built scalable ETL/ELT pipelines and understand data modeling, transformations and database concepts
- You have worked with large datasets, tuned query performance and used Git or another version control system
Who this fits
This suits a mid-level data engineer who can build and troubleshoot pipelines, APIs and backend data services. The role is based on-site in Dhahran, Saudi Arabia.
From the employer
Muller's Solutions is seeking an experienced Data Engineer with 5–6 years of experience in designing, developing, and maintaining scalable data solutions. The ideal candidate should possess strong expertise in Python, Pandas, NumPy, Airflow, BigQuery, SQL, and API development. The candidate will play a key role in building robust data pipelines, processing large datasets, and supporting business-critical applications related to inventory optimization, master data management, and backend services.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines for data ingestion and processing.
- Build and optimize data workflows using Apache Airflow.
- Develop and maintain data processing solutions using Python, Pandas, and NumPy.
- Design and optimize complex SQL queries and data models in BigQuery.
- Develop and integrate APIs to support data exchange between systems.
- Implement data ingestion frameworks from various internal and external sources.
- Perform data cleansing, transformation, and validation to ensure data accuracy and consistency.
- Develop and maintain processes for master data management.
- Support inventory optimization initiatives by implementing data processing and business logic.
- Build and maintain backend services that enable data-driven applications.
- Monitor and troubleshoot data pipelines to ensure reliability and performance.
- Collaborate with cross-functional teams, including Product, Analytics, and Engineering teams.
- Ensure adherence to data governance, security, and best practices.
Requirements
Technical Requirements
Must-Have Skills
- 5–6 years of experience in Data Engineering or related roles.
- Strong hands-on experience with:
- Python
- Pandas
- NumPy
- Apache Airflow
- Google BigQuery
- SQL
- API development and integration
- Experience in designing and implementing scalable ETL/ELT pipelines.
- Strong understanding of data modeling, data transformation, and database concepts.
- Experience working with large-scale datasets and optimizing query performance.
- Proficiency with version control systems such as Git.
Good-to-Have Skills
- Experience with PySpark and distributed data processing.
- Basic understanding of Machine Learning concepts and workflows.
- Familiarity with data quality frameworks and data validation practices.
- Experience with Docker and containerization technologies.
- Knowledge of CI/CD pipelines and DevOps practices.
- Experience working in cloud-based data environments.
Preferred Qualifications
- Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
- Experience working on enterprise-scale data platforms and data-driven applications.
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