- Monitor the health and performance of data systems, including databases, data warehouses, and data lakes.
- Conduct root cause analysis and implement corrective actions to prevent recurrence of issues.
- Manage and optimize data infrastructure components such as servers, storage systems, and cloud services.
- Develop and implement data quality checks, validation rules, and data cleansing procedures.
- Implement security controls and compliance measures to protect sensitive data and ensure regulatory compliance.
- Design and implement data backup and recovery strategies to safeguard data against loss or corruption.
- Optimize the performance of data systems and processes by tuning queries, optimizing storage, and improving ETL pipeline efficiency.
- Maintain comprehensive documentation, runbooks, and fix guides for data systems and processes.
- Collaborate with multi-functional teams, including data engineers, data scientists, business analysts, and IT operations.
- Lead or participate in data-related projects, such as system migrations, upgrades, or expansions.
- Deliver training and mentorship to junior team members, sharing knowledge and standard methodologies to support their career development.
- Participate in rotational shifts, including on-call rotations and coverage during weekends and holidays as required, to provide 24/7 support for data systems, responding to and resolving data-related incidents in a timely manner
- Hands-on experience with source version control, continuous integration and experience with release/organizational change delivery tools.
About You
Basic Qualifications:
- 6+ years of experience designing and building scalable and robust data pipelines to enable data-driven decisions for the business.
- BE/Masters in computer science or equivalent is required
Other Qualifications:
- Prior experience with CRM systems (e.g. Salesforce) is desirable
- Experience building analytical solutions to Sales and Marketing teams.
- Experience wi
📌 Data Platform and Support Engineeer (Pune)
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