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RingCentral
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Senior Data Engineer (6-8 yrs)
RingCentral
posted 1 week ago
Flexible timing
Key skills for the job
Were currently looking for :
We are looking for a detail-oriented Data Analyst to join our team.
In this role, you will be responsible for optimizing and improving our ETL pipelines, generating new datasets, creating product metrics, and collaborating across teams to solve complex problems.
This role requires a keen understanding of system behavior, strong technical skills, and the ability to engage with cross-functional teams to drive product improvements and solve complex problems.
To succeed in this role you must have experience in : .
Responsibilities :
Continuous Improvement and Optimization of ETL Pipelines :
- Work on the constant improvement of ETL pipelines to ensure reliability, consistency, and performance.
- Elaborate new data entities for the reporting development environment.
- Apply strong technical skills in data engineering, using SQL to design, implement, and optimize data pipelines.
Generating New Data for Cases (Understanding System Behavior) :
- Gain in-depth knowledge of system behavior and processes.
- Generate data to support case analysis, ensuring accuracy and relevance.
- Show a willingness to dive into areas outside of immediate responsibility to understand all aspects of the system.
Product Metrics Elaboration and Consistency Validation :
- Create a comprehensive set of product metrics in alignment with product requirements.
- Validate the consistency and accuracy of metrics to ensure they meet established standards.
Conduct Scheduled Releases :
- Manage and execute scheduled product releases with a high level of discipline and attention to detail.
Root Cause Analysis and Requirements Creation :
- Investigate issues, identify their root causes, and collaborate with relevant teams to resolve them.
- Demonstrate a strong desire to understand the essence of the problem and provide meaningful insights.
Manage Tasks and Cross-Team Communication :
- Collaborate effectively with cross-functional teams to manage and resolve product-related tasks.
- Engage stakeholders to drive alignment and ensure that issues are addressed in a timely manner.
- Set tasks, take accurate notes, and track progress, ensuring proper communication flow.
Required Skills & Qualifications :
- Educational Background : Bachelors degree in Statistics, Data Science, Computer Science, or a related field.
- 6+ years of experience in data engineering, with a focus on developing and optimizing data pipelines using SQL.
- Proven experience with data visualization tools such as Tableau, Power BI, or Looker.
- Ability to understand system behavior in-depth and generate data to support case analysis.
- Strong attention to detail with the ability to structure and validate product metrics.
- Ability to conduct scheduled releases with discipline.
- Strong problem-solving skills, with a desire to get to the root cause of issues and provide clear solutions.
- Excellent cross-team communication skills, including task management, stakeholder engagement, and effective note-taking.
- Familiarity with agile processes and cross-team collaboration.
What we offer :
- Mediclaim benefits.
- Paid holidays.
- Casual/Sick leave.
- Privilege leave.
- Bereavement leave.
- Maternity & Paternity leave.
- Wellness programs & coaching.
- Employee referral bonus.
- Professional development allowances.
- Night shift allowances.
Functional Areas: Software/Testing/Networking
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