Qualcomm Technologies, Inc | is Hiring | Data Engineer/ Software Engineer (Data) | BigDataKB.com | 2022-04-05

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Job Location: Bangalore/Bengaluru

The hire 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 is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.
 
The Data Engineer will support our software developers, 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.

Min. Qualifications
 
Bachelors degree and 5 years Data Engineer/ Software Engineer (Data) Experience
Preferred QualificationsQualifications for Data Engineer
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 4-6 years of experience in a Data Engineer role. They should also have experience using the following software/tools:
Experience in Python, Java, etc.
Working knowledge with tools like IDE(like Pycharm), Github, Tableau , Apache beam, etc.
Experience with relational SQL and NoSQL databases and elastic.
Experience with Google Cloud Platform.
Experience on one or more BI tools (Tableau, PowerBI or equivalent)
Education – RequiredBachelors / Masters degree in CS or equivalent
Education – PreferredBachelors / Masters degree in CS

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