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Join Accenture as a Data Engineer Consultant!
At Accenture, we bring together unmatched industry experience, innovative technologies, and a vast delivery network to address complex business needs. As a Data Engineer Consultant, you will play a crucial role in designing, developing, and managing data solutions.

Role Overview:
You will take ownership of critical engineering components— from data pipelines to ETL flows— ensuring data quality and driving robust insights.

Key Responsibilities:

• Design, implement, and maintain end-to-end data pipelines and ETL/ELT workflows.
• Conduct regular assessments for data integrity and implement monitoring mechanisms.
• Develop innovative data solutions to enhance operational efficiency.
• Collaborate with product teams and stakeholders to translate requirements into effective solutions.
• Mentor team members on best practices.

Required Skills & Qualifications:

• 8–12 years of data engineering experience with strong ETL expertise.
• A degree in Computer Science, Engineering, or related field.
• Proficiency in SQL, Python, and modern data frameworks.
• Experience with cloud platforms (AWS, Azure, GCP).
• Proven decision-making in collaborative environments.

Why Join Us?
We offer career progression with continuous coaching, flexible work arrangements, and access to state-of-the-art technology. Join us to make a positive impact in the communities we serve.

Join Almanea Co. as a Data Engineer!

As a leading company in home appliances and electronics trading, Almanea Co. is seeking a skilled Data Engineer to join our IT department. This role is critical in designing, developing, and maintaining scalable data pipelines and infrastructure that will support data-driven decision-making across our organization.

Main Responsibilities:

• Design and develop data pipelines (ETL/ELT) to efficiently collect, transform, and load data from various sources.
• Build and maintain data infrastructure, including databases, APIs, and cloud-based storage solutions.
• Ensure data quality, accuracy, and consistency through validation, cleansing, and governance practices.
• Collaborate with data analysts and scientists to optimize data accessibility, workflows, and model deployment.
• Monitor system performance and resolve data pipeline or infrastructure issues.
• Document data workflows, architecture, schemas, and design standards for internal use.

Requirements:

• Bachelor’s degree (or equivalent) in Computer Science or related field.
• 2–4 years of experience in data engineering or related fields.
• Proficiency in programming languages such as Python, SQL, or Java.
• Experience with relational database technologies and familiarity with ETL tools.
• Strong knowledge of cloud data platforms and data governance practices.

Join us to make an impact with your data engineering skills!