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Data Engineer (VOIS) at Vodafone United States

Giza, Giza, Egypt -

Full Time

Start Date

Immediate

Expiry Date

25 Jan, 26

Salary

0.0

Posted On

27 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, ETL Solutions, Data Quality Monitoring, Data Profiling, SQL, Python, UNIX/Linux Administration, Cloud Platforms, Big Data Technologies, Data Warehousing, Data Modelling, DevOps Tools, Distributed Systems, Data Governance, Collibra

Industry

Telecommunications

Description

Build, test, and maintain scalable data management ecosystems and reusable ETL solutions. Design and implement data quality monitoring and reporting capabilities. Execute data profiling, collection, and management techniques aligned with architectural standards. Collaborate with Data Scientists, BI Engineers, TechOps, and Architecture teams to ensure alignment with business and technical needs. Establish and enforce best practices in design, coding, and data governance, while mentoring team members and supporting operational rollouts. Data quality benchmarking and monitoring techniques. Best practices in DevOps and secure data architecture. Holder of a Bachelor's degree in Computer Science, Engineering, or a related field. Experienced in cross-functional projects of varying complexity with a proven track record of delivering results. Skilled in UNIX/Linux administration, SQL, Python, and data structures. Proficient in cloud platforms (preferably GCP and AWS), big data technologies, and data catalogue tools such as Collibra. Knowledgeable in data warehousing, data modelling, DevOps tools (e.g., Ansible, GitHub, Chef), and distributed systems. Not a perfect fit? If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best. A culture that supports flexibility, ownership, and professional growth. What skills you will learn Advanced data engineering practices including pipeline automation and data governance. Cloud infrastructure management and integration (GCP, AWS).

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Responsibilities

Build, test, and maintain scalable data management ecosystems and reusable ETL solutions. Collaborate with Data Scientists, BI Engineers, TechOps, and Architecture teams to ensure alignment with business and technical needs.