Job Description
Job Summary
Duties & Responsibilities
1. Service Delivery & Project Management: Led and managed the data engineering team to deliver projects on time and within budget. Collaborate with the Senior Data Solution Architect to translate client requirements into technical specifications. Oversee the development and implementation of data pipelines, workflows, and ETL processes.
2. Technical Expertise: Utilize expertise in DataBricks and Snowflake to design and implement scalable, reliable, and efficient data solutions. Conduct code reviews, ensuring adherence to best practices and coding standards. Troubleshoot and resolve technical issues, supporting the team as needed.
3. Team Leadership & Collaboration: Mentor and guide team members, fostering a culture of continuous learning and improvement. Facilitate cross-functional collaboration, ensuring smooth communication between engineering, sales, and other departments. Participate in recruitment, onboarding, and training of new team members.
4. Client Engagement: Serve as a technical liaison between clients and the engineering team, ensuring alignment and satisfaction. In collaboration with the senior data solution architect, assist with pre-sales support.
5. Continuous Improvement: Stay abreast of industry trends and emerging technologies, identifying opportunities for innovation and growth. Contribute to internal documentation, process improvement, and knowledge sharing.
Desired Qualifications
1. Bachelor’s or master’s degree in computer science, Engineering, or related field.
2. Minimum of 4+ years of experience in data engineering, focusing on DataBricks and/or Snowflake.
3. Proven experience with any of the following related technologies:
4. Big Data Technologies - Apache Spark, Apache Kafka, Apache Flink
5. Cloud Platforms – AWS, GCP, Azure
6. DevOps and CI/CD Tools
7. Proven experience developing in one or more of the following programming languages: Scala, Java, Python, SQL
8. Proven experience leading and managing technical teams.
9. Strong knowledge of data warehousing, big data technologies, cloud platforms, and ETL processes.
10. Excellent communication, problem-solving, and organizational skills.
Preferred Qualifications
Relevant certifications in DataBricks, Snowflake, or related technologies.
Experience working in an agile development environment.
Why Matrix
Matrix is a global, dynamic, fast-growing technical consultancy leading technology services company with 13000 employees worldwide. Since its foundation in 2001, Matrix has made more travelers and acquisitions and has executed some of the largest, most significant. The company specializes in implementing and developing leading technologies, software solutions, and products. It provides its customers with infrastructure and consulting services, IT outsourcing, offshore, training and assimilation, and Ves as representatives for the world's leading software vendors. With vast experience in private and public sectors, ranging from Finance, Telecom, Health, Hi-Tech, Education, Defense, and Secu city, Matrix's customer base includes guest organizations in Israel and a steadily growing client base worldwide.
We are comprised of talented, creative, and dedicated individuals passionate about delivering innovative solutions to the market. We source and foster the best talent and recognize that all employee's contributions are integral to our company's future.
Matrix- success is based on a challenging work environment, competitive compensation and benefits, and rewarding career opportunities. We encourage a diverse work environment of sharing, learning, and ceding together. Come and join the winning team! You'll be challenged and have fun in a highly respected organization. To Learn More, Visit Matrix -ifs. Com,
Requirements:
None