Data Engineer (Remote)

Data Engineer | Ziphire HR | Bahrain

We are seeking a skilled and experienced Data Engineer to joinour dynamic team. In this role, you will be responsible for designing,building, and maintaining our data infrastructure to support data-drivendecision making across the organization.

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Data Engineer | Ziphire HR | Bahrain

We are seeking a skilled and experienced Data Engineer to join our dynamic team. In this role, you will be responsible for designing, building, and maintaining our data infrastructure to support data-driven decision making across the organization.

Responsibilities:

Design, develop, and maintain scalable data pipelines for efficient data extraction, transformation, and loading (ETL) processes
Architect and optimize data storage solutions, including data warehouses and data lakes
Ensure data quality and integrity through data validation, cleansing, and error handling
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver relevant datasets
Implement data security measures and access controls to protect sensitive information
Automate and improve data processes and workflows for scalability and efficiency
Monitor data infrastructure for performance and reliability, addressing issues promptly
Stay current with industry trends and emerging technologies in data engineering
Document data pipelines, processes, and best practices for knowledge sharing
Participate in data governance and compliance efforts to meet regulatory requirements
Provide technical support and mentoring to junior data engineers
Continuously optimize data architecture to support the company’s evolving data needs

Requirements

Requirements:

Bachelor’s degree in Computer Science, Information Technology, or a related field; Master’s degree is a plus
3+ years of experience as a Data Engineer or in a similar role
Strong programming skills in languages such as Python, Java, or Scala
Expertise in SQL and experience with both relational and NoSQL databases
Proficiency in data modeling and database design
Experience with big data technologies like Hadoop, Spark, and Hive
Familiarity with cloud platforms (e.g., AWS, Azure, or Google Cloud)
Knowledge of data warehousing concepts and ETL tools
Experience with version control systems (e.g., Git)
Strong problem-solving and analytical skills
Excellent communication and teamwork abilities

Preferred Qualifications: