This position is posted by Jobgether on behalf of a partner company. We are currently looking for a
Staff Engineer, DataOps Engineer
in
India
.We are seeking an experienced DataOps Engineer to lead the design, implementation, and operational management of complex data pipelines and analytics platforms. In this role, you will ensure the reliability, scalability, and performance of data systems while driving automation and DevOps best practices. You will collaborate closely with cross-functional teams including engineering, DevOps, and security to deliver high-quality, production-ready solutions. The ideal candidate thrives in a fast-paced, remote-first environment, applies strong technical expertise, and actively contributes to improving data governance, observability, and overall platform performance. Your work will directly impact data availability and integrity, supporting the organization’s strategic initiatives and enabling actionable insights across teams.
Accountabilities
- Manage and support data pipelines, ETL processes, and analytics platforms, ensuring reliability, performance, and accessibility.
- Implement data validation, quality checks, and performance tuning using SQL and Python/Shell scripting.
- Develop and maintain monitoring and observability solutions using tools like Datadog, Grafana, and Prometheus to track system health.
- Integrate data deployments within CI/CD pipelines (Jenkins, Azure DevOps, Git) in collaboration with DevOps and Infrastructure teams.
- Apply Infrastructure-as-Code (Terraform, Ansible) to automate provisioning and management of data environments.
- Support incident and request management, including root cause analysis and SLA adherence.
- Collaborate with security and compliance teams to maintain data governance and protection standards.
- Participate in Agile ceremonies to align with cross-functional delivery squads and drive continuous improvement.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
- 7+ years of professional experience in DataOps, Data Engineering Operations, or Analytics Platform Support.
- Strong expertise in SQL and Python/Shell scripting for automation and data diagnostics.
- Hands-on experience with cloud platforms (AWS mandatory; Azure/GCP is a plus).
- Familiarity with CI/CD tools (Jenkins, Azure DevOps), version control (Git), and Infrastructure-as-Code frameworks (Terraform, Ansible).
- Understanding of containerization concepts, including Docker and Kubernetes.
- Experience with monitoring tools such as Datadog, Grafana, and Prometheus.
- Solid understanding of data governance, observability, and quality frameworks.
- Experience in incident management and tracking operational metrics (MTTR, uptime, latency).
- Strong problem-solving, analytical, and collaboration skills, with the ability to work effectively across global teams.
Benefits
- Competitive salary with performance incentives.
- Flexible work arrangements and remote-first environment.
- Paid time off and company-wide wellbeing days.
- Health insurance coverage for you and your family.
- Support for professional development and online learning opportunities.
- Pension plan or retirement contributions, depending on location.
- Employee wellness programs and resources to support work-life balance.
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.Thank you for your interest!By submitting an application to this posting, the applicant acknowledges that Jobgether will process their personal data as necessary to evaluate their candidacy, provide feedback, and, when appropriate, share relevant information with potential employers. Such processing is carried out on the basis of legitimate interest and pre-contractual measures in accordance with applicable data protection laws. The applicant may exercise their rights of access, rectification, erasure, and objection at any time as provided under the GDPR.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
