Enterprise Data Design (Data Engineer, Staff)

Company:

Qualcomm India Private Limited

Job Area:

Information Technology Group, Information Technology Group > IT Data Engineer

General Summary:

Qualcomm India Private Limited is seeking a Staff IT Data Engineer to join our Enterprise Architecture Data Team. This pivotal role focuses on designing, developing, and supporting advanced data pipelines across a multi-cloud environment, with a primary emphasis on AWS. The successful candidate will play a crucial role in facilitating data ingestion from diverse sources, processing data using a standardized data lake approach, and provisioning data for analytical endeavors. The role demands a robust implementation of DevSecOps practices, including Continuous Integration/Continuous Deployment (CI/CD), Infrastructure as Code (IaC), and automated testing to enhance data operations, monitor and optimize data loads, and define data retention policies.

Principal Duties and Responsibilities:
•    Design and develop data pipelines in AWS, leveraging services such as EC2, IAM, S3, Glue, Athena, and Lambda, among others.
•    Expertise in data flow scheduling with Apache Airflow and data integration using Informatica Cloud (IICS).
•    Demonstrate advanced data modeling and architecture skills in Data Lake and/or Data Warehouse environments.
•    Proficiency in programming with Python or equivalent languages, emphasizing OOPS, data structures, and algorithms.
•    Experience with SQL and/or NoSQL databases, CI/CD practices using Jenkins, and data API development.
•    Engage in event/message-based integrations and support Machine Learning projects within a SAFe Agile Scrum methodology.
•    Utilize containerization technologies like Docker or Kubernetes and infrastructure automation tools such as CloudFormation or Terraform.
•    Exhibit a proactive learning attitude in a fast-paced environment, with excellent communication, interpersonal, and problem-solving skills.

Minimum Qualifications:
•    Bachelor’s degree in Computer Engineering, Computer Science, Information Systems, or a related field, with 5+ years of IT-related work experience; or 7+ years of IT-related work experience without a Bachelor’s degree.
•    At least 10 years of programming experience, preferably in Python or Java using OOPS, Data Structures and Algorithms.
•    At least 5 years of AWS experience including: EC2, IAM, S3, CDK, Glue, Athena, Lambda, RedShift, Dynamo DB, Snowflake, and RDS.
•    At least 5 years of Informatica Cloud (IICS) experience.
•    At least 10 years of experience with SQL and/or NoSQL Databases.
•    At least 3 years of experience with Data Structures and algorithms.
•    5-7 years of expertise in scheduling data flows using Apache Airflow.
•    10+ years of strong data modelling (Functional, Logical and Physical) and data architecture experience in Data Lake and/or Data Warehouse.
•    At least 3 years of experience with CI/CD and DevSecOps using Jenkins.
•    At least 2 years of experience with design and development of Data APIs (python, flask/fastapi, etc.) to expose data in the platform and supporting Document and Graph stores using Polyglot persistence.
•    At least 2 years of experience with event/message-based integrations (inbound and outbound) on the platform.

Preferred Qualifications:
•    AWS Certified Data Engineer or AWS Certified Solutions Architect designation.
•    Experience or exposure to other cloud platforms such as Azure and GCP.
•    Knowledge of Big Data handling with PySpark.

Education Requirements:
•    A Bachelor of Science in Computer Science, Information Technology, Engineering, or a related field, or 7+ years of equivalent professional experience.

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.
OR
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.

Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

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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If you would like more information about this role, please contact Qualcomm Careers.