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.


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