Responsibilities
- Design and implement data infrastructure and systems.
- Collaborate with cross-functional teams to deliver data solutions.
- Ensure data integrity, security, and compliance with regulations.
- Develop and maintain data pipelines and ETL processes.
- Provide technical leadership and mentorship to junior engineers.
- Optimize data storage and retrieval processes.
- Implement data governance and quality assurance processes.
- Work with stakeholders to understand data requirements and translate them into technical solutions.
- Develop and maintain data models and schemas.
- Implement data warehousing and business intelligence solutions.
- Ensure data scalability and performance.
- Collaborate with data scientists and analysts to support data-driven decision-making.
- Implement data security and access control measures.
- Develop and maintain data documentation and standards.
- Stay up-to-date with industry trends and best practices in data engineering.
- Participate in on-call rotations and provide technical support as needed.
- Conduct code reviews and ensure adherence to coding standards.
- Provide technical expertise and support to other teams and projects.
- Develop and maintain data integration and migration processes.
- Implement data monitoring and alerting systems.
- Collaborate with vendors and third-party providers to integrate data solutions.
- Develop and maintain data backup and recovery processes.
- Ensure data availability and reliability.
- Provide technical input and support for data-related projects and initiatives.
Nice to Have
- Master's degree in Computer Science, Engineering, or a related field.
- Certification in data engineering or related field.
- Experience with big data technologies such as Hadoop or Spark.
- Experience with data lakes and data streaming platforms.
- Knowledge of machine learning and AI technologies.
- Experience with containerization and orchestration tools such as Docker and Kubernetes.
- Experience with data governance and compliance frameworks.
- Knowledge of data privacy and protection regulations.
- Experience with data cataloging and metadata management.
- Strong understanding of data architecture and design patterns.
- Experience with data lineage and impact analysis.
- Knowledge of data quality and profiling tools.
- Experience with data virtualization and federation.
- Strong understanding of data warehousing and data mart design.
- Experience with data integration and ETL tools.
- Knowledge of data governance and stewardship frameworks.
- Experience with data modeling and schema design.
- Knowledge of data security and access control mechanisms.
- Experience with data backup and disaster recovery planning.
- Strong understanding of data warehousing and data mart design.
Compensation
Competitive salary
Work Arrangement
Full-time
Team
Work with a team of data engineers, data scientists, and analysts.
About Us
- We are a leading telecommunications company.
- We provide a range of telecommunications services to businesses and consumers.
- We are committed to delivering innovative and reliable solutions to our customers.
- We have a strong focus on data and technology to drive our business forward.
- We value diversity and inclusion in our workplace.
- We offer a supportive and collaborative work environment.
- We provide opportunities for professional development and growth.
- We are dedicated to sustainability and corporate social responsibility.
- We have a strong commitment to customer satisfaction and service excellence.
- We are a dynamic and forward-thinking organization.
What We Offer
- Competitive salary and benefits package.
- Opportunities for professional development and growth.
- Supportive and collaborative work environment.
- Flexible work arrangements and work-life balance.
- Access to the latest technology and tools.
- Opportunities to work on innovative and challenging projects.
- A dynamic and forward-thinking organization.
- A strong commitment to customer satisfaction and service excellence.
- A diverse and inclusive workplace.
- A strong focus on data and technology to drive business forward.
How to Apply
- Submit your resume and cover letter online.
- Include relevant experience and qualifications.
- Highlight your technical skills and achievements.
- Provide examples of your problem-solving and analytical skills.
- Demonstrate your communication and teamwork skills.
- Show your ability to work independently and manage multiple projects.
- Include any certifications or additional qualifications.
- Provide references if requested.
- Follow up on your application if you do not hear back within two weeks.
- Prepare for technical and behavioral interviews.
Visa sponsorship available for eligible candidates
