Qualcomm Engineer Senior - Business Intelligence/Data Engineering 

India, Telangana, Hyderabad 

382228427

Engineering Group, Engineering Group > Software Engineering

Engineering Group, Engineering Group > Software Engineering

We are looking for a talented, motivated leader with experience in building Scalable Cloud Services, Infrastructure, and processes. As part of the IoT (Internet of Things) team you will be working on the next generation of IoT products.

The ideal candidate will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. You will have deep expertise in gathering requirements and insights, mining large and diverse data sets, data visualization, writing complex SQL queries, building rapid prototype using Python/ R and generating insights that enable senior leaders to make critical business decisions.

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.

Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.

PhD in Engineering, Information Systems, Computer Science, or related field.

• 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

Key job responsibilities

• You will utilize your deep expertise in business analysis, metrics, reporting, and analytic tools/languages like SQL, Excel, and others, to translate data into meaningful insights through collaboration with scientists, software engineers, data engineers and business analysts.

• You will have end-to-end ownership of operational, financial, and technical aspects of the insights you are building for the business, and will play an integral role in strategic decision-making.

• Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership

• Produce recommendations and insights that will help shape effective metric development and reporting for key stakeholders

• Simplify and automate reporting, audits and other data-driven activities

• Partner with Engineering teams to enhance data infrastructure, data availability, and broad access to customer insights

• To develop and drive best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation

• Learn new technology and techniques to meaningfully support product and process innovation

BASIC QUALIFICATIONS

• At least 3 to 5 years of experience using SQL to query data from databases/data warehouses/cloud data sources/etc. (e.g., Redshift, MySQL, PostgreSQL, MS SQL Server, BigQuery, etc.).

• Experience with data visualization using Tableau, Power BI, Quicksight, or similar tools.

• Bachelor’s degree in Statistics, Economics, Math, Finance, Engineering, Computer Science, Information Systems, or a related quantitative field.

• Ability to operate successfully and independently in a fast-paced environment.

• Comfort with ambiguity and eagerness to learn new skills.

• Knowledge of Cloud Services AWS, GCP and/or Azure is a must

PREFERRED QUALIFICATIONS

• Experience with AWS solutions such as EC2, Athena, Glue, S3, and Redshift

• Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

• Experience with creating and building predictive/optimization tools that benefit the business and improve customer experience

• Experience articulating business questions and using quantitative techniques to drive insights for business.

• Experience in dealing with technical and non-technical senior level managers.

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.