Job Description : Top 5 Required Skills
1. AWS
2. Data Engineering
3. SQL
4. Python
5. Informatica
Technologies (specific tools and / or programs you would want to see on their resumes)
- AWS, Redshift, Apache Airflow, Glue, Python, Informatica, Snowflake, IICS, ERP, Salesforce
Keywords (specific words, projects, programs you would want to see on their resumes)
AWS, Redshift, Apache Airflow, Glue, Python, Informatica, Snowflake, IICS, ERP, SalesforceData discovery, modeling, engineering, pipeline, data warehouseEducation Requirement
Bachelor of Science in Computer Science, Information Technology, Data Science, or a related field.Required Years of Experience
3 years minPhysical Requirements
Push Max Weight Limit = 0Pull Max Weight Limit = 0Lift Max Weight Limit = 0Forklift Required (Y / N) : NDriving Requirements
Are there driving responsibilities no matter how minimal with this role? NoIf Yes)How many hours per week? n / aWork Location Requirement : 100% OnsiteWork Address : 5775 Morehouse Drive, San Diego, CAQualcomm Home Building : OWork Days : Mon-FriExact Shift Time : 8 : 30-5 : 00pm PSTWeekly / Daily Expected Hours : 40.0 / 8.0As a Data Engineer at Qualcomm, you will play a pivotal role in shaping and implementing robust data architecture while constructing efficient data pipelines aligned with our organizational goals. This position supports various business functions, including Supply Chain, Finance, Sales & Marketing, and other corporate areas. The ideal candidate will possess a deep understanding of data architecture principles, data discovery / modeling, and the seamless integration of emerging technologies into a cohesive data ecosystem that fosters innovation, operational excellence, and strategic insights.
Principal Duties and Responsibilities :
Collaborate with cross-functional and global teams to comprehend business requirements and translate them into effective solutions.Design and manage resilient, scalable data models and architectures that cater to the evolving needs of the business, emphasizing efficiency, quality, and security.Implement data pipelines using tools such as Apache Airflow, AWS Glue, Redshift, S3, Python, and Informatica Cloud.Facilitate communication within and outside the project team to resolve conflicts related to implementation schedules, design complexities, and other challenges.Good to have qualifications
Experience in Data Engineering leveraging AWS Redshift, S3, Glue, Airflow, Python, SQL and KubernetesFamiliarity with Informatica Cloud and Informatica Power Center is essential.Strong expertise in data modeling tools and methodologies, encompassing both structured and unstructured data environments.Demonstrated experience in data governance, data quality management, and data security practices.Exceptional analytical and problem-solving skills, enabling the translation of intricate technical challenges into actionable solutions.Ability to quickly learn and adapt to new technologies.Strong sense of ownership and growth mindset.Curiosity about the problem domain and an analytical approach.Strong influence skills to drive business adoption and change.Experience in data discovery of source systems like Oracle E-Business Suite and Salesforce is preferable.Comments for Suppliers :
