IT Data Engineer, Lead

Company:

Job Area:

General Summary:

General Summary:

We are looking for a savvy Data Engineer expert to join our analytics team. The Candidate will be responsible for expanding and optimizing our data and data pipelines, as well as optimizing data flow and collection for cross functional teams. The ideal candidate has python development experience and is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. We believe that candidate with solid Software Engineering/Development is a great fit. However, we also recognize that each candidate has a unique blend of skills. The Data Engineer will work with database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams.. The right candidate will be excited by the prospect of optimizing data to support our next generation of products and data initiatives.
Responsibilities for Data Engineer

                · Create and maintain optimal data pipelines,
                · Assemble large, complex data sets that meet functional / non-functional business requirements.
                · Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing for greater scalability, etc.
                · Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
                · Work with stakeholders including the Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
                · Work with data and analytics experts to strive for greater functionality in our data systems.
                · Performing ad hoc analysis and report QA testing. 
                · Follow Agile/SCRUM development methodologies within Analytics projects.

                · Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
                · Experience building and optimizing ‘big data’ data pipelines, and data sets.
                · Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
                · Strong analytic skills related to working with unstructured datasets.
                · Good communication skills, a great team player and someone who has the hunger to learn newer ways of problem solving.
                · Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
                · A successful history of manipulating, processing, and extracting value from large, disconnected datasets.
                · Working knowledge on Unix or Shell scripting
                · Constructing methods to test user acceptance and usage of data.
                · Knowledge of predictive analytics tools and problem solving using statistical methods is a plus.
                · Experience supporting and working with cross-functional teams in a dynamic environment.
                · Demonstrated understanding of the Software Development Life Cycle 
                · Ability to work independently and with a team in a diverse, fast paced, and collaborative environment 
                · Excellent written and verbal communication skills 
                · A quick learner with the ability to handle development tasks with minimum or no supervision 
                · Ability to multitask 
                · We are looking for a candidate with 7+ years of experience in a Data Engineering role. They should also have experience using the following software/tools:
                                                · Experience in Python, Java, etc.
                                                · Experience with Google Cloud Platform.
                                                · Experience with bigdata frameworks & tools - Apache Hadoop/Beam/Spark/Kafka.
                                                · Exposure to workflow management & scheduling using Airflow/Prefect/Dagster
                                                · Exposure to databases like (Big Query , Clickhouse).
                                                · Experience to container orchestration (Kubernetes)

                                                · Optional Experience on one or more BI tools (Tableau, Splunk or equivalent).

.                                                

Minimum Qualifications:

6+ years of IT-related work experience without a Bachelor’s degree.

• 2+ years of work experience with programming (e.g., Java, Python).
• 1+ year of work experience with SQL or NoSQL Databases.
• 1+ year of work experience with Data Structures and algorithms.

'Bachelor's degree and 7+ years Data Engineer/ Software Engineer (Data) Experience 

Minimum Qualifications:

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 myhr.support@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.

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 Qualcomm Careers.