Job Role : Senior Data Engineer
Salary : Rs 19.8 Lakhs per year (₹1.6L per month).
Location : Bengaluru, Karnataka
Company : Qualcomm
Qualifications : B.E. Computer Engineering
Experience : At least 5 years of experience
ABOUT QUALCOMM
Qualcomm is a leading era organization focusing on semiconductors and telecommunications device. Founded in 1985 and founded in San Diego, California, Qualcomm is famed for its development of virtual communication technology, specifically in cell and wireless sectors. The agency is a major player within the advent of Snapdragon processors, which electricity a huge part of smartphones and other smart devices international. Qualcomm’s innovations in 5G era have positioned it at the vanguard of the following technology of wireless communication. By that specialize in research and improvement, Qualcomm continually pushes the boundaries of what’s viable in cellular computing and connectivity, aiming to decorate and shape the final virtual revel in.
Job Description
Position Overview:
The Senior Data Engineer will play a vital position in designing, constructing, and keeping scalable records pipelines and structures. This man or woman will paintings cautiously with statistics scientists, analysts, and specific stakeholders to ensure facts integrity, accessibility, and usability. The ideal candidate may additionally have a robust historical beyond in records engineering, experience with large data era, and a set up potential to resolve complicated troubles.
About Us:
[Company Name] is a primary [Industry] employer targeted on [brief description of what the company does]. We are devoted to leveraging current technology to electricity innovation and supply first-rate services and products to our clients. As a part of our increase method, we’re on the lookout for a exceedingly professional Senior Data Engineer to enroll in our dynamic group.
Key Responsibilities For a Senior Data Engineer:
- Data Pipeline Development: Design, boom, and maintain robust records pipelines to resource records processing and analytics. Ensure that statistics pipelines are green, scalable, and reliable.
- Data Integration: Integrate data from numerous assets, which incorporates databases, APIs, and outdoor information companies, proper into a unified statistics warehouse or lake.
- Data Modeling: Develop and hold data models that guide industrial organisation intelligence and analytical reporting. Optimize statistics systems for ordinary performance and scalability.
- Performance Optimization: Monitor and optimize the performance of information systems and pipelines. Troubleshoot and remedy performance troubles as they rise up.
- Collaboration: Work cautiously with records scientists, analysts, and distinct stakeholders to apprehend their information desires and offer solutions that meet the ones wishes correctly.
- Technology Evaluation: Stay up-to-date with developing information technologies and tendencies. Evaluate and suggest new device and generation which can beautify information engineering practices.
- Documentation: Maintain entire documentation for statistics pipelines, methods, and systems. Ensure that documentation is updated and available to relevant crew contributors.(Senior Data Engineer)
- Data Quality: Implement and implement information excellent necessities. Develop and execute statistics validation and cleaning strategies to ensure records accuracy and consistency.
- Mentorship: Provide steering and mentorship to junior facts engineers and make contributions to the development of wonderful practices within the team.
Qualifications For a Senior Data Engineer:
- Education: Bachelor’s diploma in Computer Science, Engineering, or a related trouble. Advanced degree is a plus.
- Experience: Minimum of five years of experience in statistics engineering or a associated region, with a robust tune report of growing and handling big-scale data systems.
- Technical Skills: Proficiency in SQL and experience with huge statistics era which encompass Hadoop, Spark, or Kafka. Experience with cloud systems like AWS, Azure, or Google Cloud is notably right.
- Programming Languages: Proficiency in programming languages which include Python, Java, or Scala.
- Tools and Technologies: Experience with records warehousing solutions (e.G., Snowflake, Redshift, BigQuery) and ETL system (e.G., Apache NiFi, Airflow).
- Analytical Skills: Strong problem-fixing competencies with the ability to research complicated facts and provide actionable insights.(Senior Data Engineer)
- Communication: Excellent verbal and written conversation capabilities. Ability to deliver technical requirements to non-technical stakeholders.
What We Offer:
- Competitive sales and advantages bundle deal deal.
- Opportunities for professional boom and improvement.
- Collaborative and inclusive art work environment.
- [Other benefits specific to your company, e.G., remote work options, flexible hours, etc.]
How to Apply:
Interested candidates want to placed up their resume and a cover letter outlining their qualifications and enjoy to [Application Email or Link].
[Company Name] is an same opportunity business enterprise. We have fun variety and are dedicated to developing an inclusive environment for all personnel.
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