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: If you need an accommodation, during the application/hiring process, you may request an accommodation by sending email to 

Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found

for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.

Qualcomm is an equal opportunity employer and supports workforce diversity.

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.

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

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

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