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Information Technology Group, Information Technology Group > IT Data Engineer
5-7 years of hands-on experience with AWS Suite of services (EC2, IAM, S3, CDK, Glue, Athena, Lambda, RedShift, Dyanmo DB, Snowflake, RDS)
5-7 years of expertise in scheduling data flows using Apache Airflow
5-7 years of experience with Informatica Cloud (IICS)
10+ years of strong data modelling (Functiona, Logical and Physcial) and data architecture experience in Data Lake and/or Data Warehouse
10+ years of experience with Python or equivalent programming using OOPS, Data Structures and Algorithms
10+ years of exprience with SQL and/or NoSQL databases
3-5 years of experience with CI/CD and DevOps using Jenkins
2+ years of experience with design and development of Data APIs (python, flask/fastapi) to expose data in the platform and supporting Document and Graph stores using Polyglot persistence
2+ years of experience with event/message based integrations (inbound and outbound) on the platform
Hands on Experience in supporting Machine Learning projects
Hands-on experience with containerization (Docker or Kubernetes) and Infrastructure automation (CloudFormation or Terraform)
Attitude and aptitude to learn new technologies in a fast-paced environment with a "can do" attitude
Should have the ability to work and contribute beyond defined responsibilities
Excellent communication and inter-personal skills with deep problem-solving skills
Nice to Have:
AWS Certified Data Engineer or AWS Certified Solutions Architect
Exposure or experience in other cloud platforms (Azure and GCP)
Knowledge in handling Big Data using PySpark
Programming experience in Java or equivalent
Minimum Qualifications:
• 5+ years of IT-related work experience with a Bachelor's degree in Computer Engineering, Computer Science, Information Systems or a related field.
7+ years of IT-related work experience without a Bachelor’s degree.
• 3+ years of work experience with programming (e.g., Java, Python).
• 3+ years of work experience with SQL or NoSQL Databases.
• 3+ years of work experience with Data Structures and algorithms.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
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