Member Of Technical Staff 2

Year    KA, IN, India

Job Description

Company Description

At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it's consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future.





This role will be part of a team that develops software that processes data captured every day from over a quarter of a million Computer and Mobile devices worldwide. Measuring panelists activities as they surf the Internet via Browsers, or utilizing Mobile App's download from Apple's and Google's store. The Nielsen software meter used to capture this usage data has been optimized to be unobtrusive yet gather many biometric data points that the backend system can use to identify who is using the device, and also detect fraudulent behavior.


The Software Engineer is ultimately responsible for delivering technical solutions: starting from the project's onboard until post launch support and including design, development, testing. It is expected to coordinate, support and work with multiple delocalized project teams in multiple regions. As a member of the technical staff with our Digital Meter Processing team, you will further develop the backend system that processes massive amounts of data every day, across 3 different AWS regions. Your role will involve designing, implementing, and maintaining robust, scalable solutions that leverage a Java based system that runs in an AWS environment. You will play a key role in shaping the technical direction of our projects and mentoring other team members.



Responsibilities

System Deployment:

Conceive, design and build new features in the existing backend processing pipelines.

CI/CD Implementation:

Design and implement CI/CD pipelines for automated build, test, and deployment processes.

Ensure continuous integration and delivery of features, improvements, and bug fixes.

Code Quality and Best Practices:

Enforce coding standards, best practices, and design principles.

Conduct code reviews and provide constructive feedback to maintain high code quality.

Performance Optimization:

Identify and address performance bottlenecks in both reading, processing and writing data to the backend data stores.

Mentorship and Collaboration:

Mentor junior engineers, providing guidance on technical aspects and best practices.

Collaborate with cross-functional teams to ensure a cohesive and unified approach to software development.

Security and Compliance:

Implement security best practices for all tiers of the system.

Ensure compliance with industry standards and regulations related to AWS platform security.







Qualifications

Key Skills



Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.

Proven experience, minimum 3 years, in high-volume data processing development expertise using ETL tools such as AWS Glue or PySpark, Java, SQL and databases such as Postgres

Minimum 2 years development on an AWS platform

Strong understanding of CI/CD principles and tools. GitLab a plus

Excellent problem-solving and debugging skills.

Strong communication and collaboration skills with ability to communicate complex technical concepts and align organization on decisions

Sound problem-solving skills with the ability to quickly process complex information and present it clearly and simply

Utilizes team collaboration to create innovative solutions efficiently

Other desirable skills



Knowledge of networking principles and security best practices.

AWS certifications

Experience with Data Warehouses, ETL, and/or Data Lakes very desirable

Experience with RedShift, Airflow, Python, Lambda, Prometheus, Grafana, & OpsGeni a bonus

Exposure to the Google Cloud Platform (GCP)







Additional Information



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Job Detail

  • Job Id
    JD3842703
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    KA, IN, India
  • Education
    Not mentioned
  • Experience
    Year