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9 Qualcomm Jobs

IT Data Engineer, Lead

7-12 years

Bangalore / Bengaluru

1 vacancy

IT Data Engineer, Lead

Qualcomm

posted 6mon ago

Job Role Insights

Flexible timing

Job Description

  • 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 we'll 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
  • Howe'ver, 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 we'll 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 c ontainer orchestration ( Kubernetes )
  • Optional Experience on one or more BI tools (Tableau, Splunk or equivalent).
Minimum Qualifications:
4+ years of IT-related work experience with a Bachelors degree in Computer Engineering, Computer Science, Information Systems or a related field.
OR
6+ years of IT-related work experience without a bachelors degree.
2+ years of work experience with programming (eg, Java, Python).
1+ year of work experience with SQL or NoSQL Databases.
1+ year of work experience with Data Structures and algorithms.

Employment Type: Full Time, Permanent

Functional Areas: Software/Testing/Networking

Read full job description

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People are getting interviews at Qualcomm through

(based on 130 Qualcomm interviews)
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Company Website
Walkin
35%
21%
21%
8%
2%
13% candidates got the interview through other sources.
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What people at Qualcomm are saying

Data Engineer salary at Qualcomm

reported by 5 employees with 2-4 years exp.
₹7.8 L/yr - ₹18 L/yr
16% more than the average Data Engineer Salary in India
View more details

What Qualcomm employees are saying about work life

based on 901 employees
85%
93%
77%
95%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

Qualcomm Benefits

Free Food
Cafeteria
Work From Home
Health Insurance
Gymnasium
Team Outings +6 more
View more benefits

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