Cohere Health

Healthcare

Sr.DataEngineer

₹22–35L ~AI est. Hyderabad, Telangana, India
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Sr. Data Engineer at Cohere Health. Skills: Data Engineering, ETL/ELT pipelines, Cloud-based solutions, Data platforms. Develop and maintain ETL/ELT pipelines. Ingest, transform, and load data”

What You'll Achieve.

Drive technical vision; Scale infrastructure; Scale services; Scale architecture; Evolve data infrastructure; Support business-aligned outcomes; Raise bar for data engineering excellence; Accelerate maturity of data platform capabilities; Improve efficiency; Improve accuracy; Improve turnaround time; Maintain trusted data assets; Maintain secure data assets; Maintain compliant data assets; Improve platform reliability; Improve platform performance; Improve platform scalability; Improve platform observability; Improve platform security; Improve platform cost efficiency

Industry & Context.

Healthcare
Problems you'll solve

Root cause analysis; Troubleshooting; Investigate incidents; Resolve incidents

Eligibility Requirements

Reliably commute or planning to relocate

What They're Looking For.

Must Have

5+ years of experience in Data Engineering, 5+ years of experience in developing automated data ingestion pipelines, Proficiency in writing and tuning advanced SQL queries, 5+ years of proven expertise in cloud-based, distributed environments, Demonstrated experience designing and managing secure client data integrations, Fluency in modern data architecture patterns, Monitored production pipelines and triaged data incidents, Implemented data governance, observability, and quality controls, Knowledge of CI/CD pipelines, version control, and DevOps practices, Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline

Nice to Have

Ability to commute/relocate: Hyderabad, Telangana, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified

What You'll Do.

Develop and maintain ETL/ELT pipelines

Ensure pipelines are scalable

Ensure pipelines are reusable

Ensure pipelines are fault-tolerant

Optimize pipelines for batch processing

Optimize pipelines for near real-time processing

Develop interactive dashboards

Develop KPI reporting solutions

Deliver executive reporting

Deliver operational reporting

Deliver analytical reporting

Identify repetitive manual reporting processes

Automate reporting processes

Improve turnaround time

Collaborate with internal stakeholders

Collaborate with leadership teams

Understand data integration needs

Understand reporting needs

Document business rules

Translate requirements into technical solutions

Implement data validation checks

Implement reconciliation controls

Implement lineage documentation

Implement metadata standards

Implement governance policies

Maintain trusted data assets

Maintain secure data assets

Maintain compliant data assets

Provide technical guidance

Mentor junior team members

Investigate production incidents

Resolve production incidents

Perform root cause analysis

Implement preventive fixes

Continuously improve platform reliability

Continuously improve platform performance

Continuously improve platform scalability

Continuously improve platform observability

Continuously improve platform security

Continuously improve platform cost efficiency

How You'll Work.

Team & Collaboration

Partner with data engineers; Partner with analytics engineers; Partner with architects; Partner with product leaders; Partner with business stakeholders; Collaborate with internal stakeholders; Collaborate with leadership teams; Mentor junior team members

Communication Scope

Technical guidance

Process & Methodology

Workflow orchestration, Scheduling tools, CI/CD pipelines, DevOps practices

Full Job Description

Opportunity Overview: We are seeking a Sr. Data Engineer to help drive the technical vision of our Data Engineering team as we scale our infrastructure, services, and architecture. This role is ideal for someone who blends deep technical expertise with strategic thinking and cross-functional influence. As a Sr. Data Engineer, you will partner closely with other data and analytics engineers, architects, product leaders, and business stakeholders to evolve our data infrastructure in support of high-trust, scalable, and business-aligned outcomes. You’ll also serve as a force multiplier across teams; raising the bar for data engineering excellence and accelerating the maturity of our data platform capabilities. What you’ll do: Develop, and maintain robust ETL/ELT pipelines to ingest, transform, and load data from multiple source systems into enterprise data platforms. Ensure pipelines are scalable, reusable, fault-tolerant, and optimized for batch and near real-time processing requirements. Develop interactive dashboards, scorecards, and KPI reporting solutions using BI tools. Deliver executive, operational, and analytical reporting aligned with business goals. Identify repetitive manual reporting processes and automate them using scripting, workflow orchestration, scheduling tools, and dashboard refresh mechanisms to improve efficiency, accuracy, and turnaround time. Collaborate with internal stakeholders and leadership teams to understand data integration and reporting needs, define KPIs, document business rules, and translate requirements into scalable technical solutions. Implement data validation checks, reconciliation controls, lineage documentation, metadata standards, and governance policies to maintain trusted, secure, and compliant data assets across the organization. Provide technical guidance, code reviews, best practices, and mentor junior team members. Investigate and resolve production incidents related to pipelines, delayed reports, data mismatches, acce

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