As a full spectrum AWS integrator, we assist hundreds of companies to realize the value, efficiency, and productivity of the cloud. We take customers on their journey to enable, operate, and innovate using cloud technologies – from migration strategy to operational excellence and immersive transformation. If you like a challenge, you’ll love it here, because we’re solving complex business problems every day, building and promoting great technology solutions that impact our customers’ success. The best part is, we’re committed to you and your growth, both professionally and personally. Our Senior Big Data Engineers are experienced technologists with technical depth and breadth, along with strong communication skills working in global teams. In this role, you will work directly with customers and our team to help enable innovation through continuous, hands-on, deployment across technology stacks. Your responsibilities will encompass building data pipelines, developing data engineering pipelines, writing data engineering code for data queries and algorithms. If you get a thrill working with cutting-edge technology and love to help solve customers’ problems, we’d love to hear from you. It’s time to rethink the possible. Are you ready?
What You’ll Be Doing:
Build complex ETL code
Build complex SQL queries using Postgres, MongoDB, Oracle, SQL Server, MariaDB, MySQL
Work on Data and Analytics Tools in the Cloud
Develop code using Python, Scala, Java, or R languages
Work with technologies such as Spark, Databricks, Hadoop, Kafka, etc.
Build complex Data Engineering workflows
Create complex data solutions and build data pipelines
Establish credibility and build impactful relationships with our customers to enable them to be cloud advocates
Qualifications & Experience:
Bachelor’s Degree or higher in quantitative areas such as Computer Science, Information Management, Big Data & Analytics, or a related field is desired
5+ years design & implementation experience with distributed applications
3+ years of experience in database architectures and data pipeline development
Demonstrated knowledge of software development tools and methodologies
AWS, GCP And/Or Azure Public Cloud skills and experience
Preference for candidates with the following certifications - AWS Certified Data Engineer – Associate AWS Certified Solutions Architect - Associate (SAA-C03) Azure Data Engineer Associate
Preference for candidates with experience in open-source table formats, including Apache Hudi, Apache Iceberg, and Databricks Delta Lake
Presentation skills with a high degree of comfort speaking with executives, IT management, and developers
Proficiently navigate time zone differences to effectively collaborate with our distributed teams in North America and Egypt, demonstrating flexibility in adjusting work hours when required to synchronize efforts and ensure smooth communication
Excellent communication skills with an ability to right level conversations
Technical degree required; Computer Science or Math background desired
Demonstrated ability to adapt to new technologies and learn quickly
