- Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Equifax Data Observability Lead Scala/Python.
 
  
  
    
    
  
      Urgent! Equifax - Data Observability Lead - Scala/Python Job Opening In Pune – Now Hiring Equifax
 
                        
                         <p>Data Observability Lead</p><p><br/></p><p>We are looking for an experienced Data Observability Lead to drive the design and implementation of data monitoring, reliability, and governance solutions across our enterprise data ecosystem.
This role will combine technical hands-on skills with leadership responsibilities to ensure that data pipelines and platforms remain reliable, transparent, and trustworthy for business-critical decisions.</p><p><br/></p><p>What You Will Do :</p><p><br/></p><p>- Lead the design, implementation, and operation of data observability platforms to track data quality, freshness, lineage, and reliability.</p><p><br/></p><p>- Define and implement cross-pipeline monitoring frameworks to proactively detect anomalies, drift, or issues across data sources.</p><p><br/></p><p>- Collaborate with data engineering, analytics, and platform teams to integrate observability solutions into existing data pipelines (on-prem and cloud).</p><p><br/></p><p>- Establish standards for data health metrics, SLAs, and error handling across ingestion, transformation, and consumption layers.</p><p><br/></p><p>- Manage data lineage tracking, schema evolution monitoring, and compliance reporting.</p><p><br/></p><p>- Define and evangelize best practices for monitoring, alerting, dashboards, and incident response related to data pipelines.</p><p><br/></p><p>- Research and apply modern observability tools (Monte Carlo, Databand, Bigeye, OpenLineage, Great Expectations, custom frameworks).</p><p><br/></p><p>- Build infrastructure-as-code (Terraform/CloudFormation) to deploy observability components consistently across environments.</p><p><br/></p><p>- Engage in architecture discussions and technology roadmaps to embed observability into the core of our data strategy.</p><p><br/></p><p>- Mentor junior engineers and lead sprint deliverables focused on pipeline reliability and monitoring.</p><p><br/></p><p>What Experience You Need :</p><p><br/></p><p>- Bachelors/Masters in Computer Science, Data Engineering, or related field.</p><p><br/></p><p>- 8+ years of professional experience in data engineering, software development, or reliability engineering, with at least 3+ years dedicated to observability or monitoring.</p><p><br/></p><p>- Strong coding skills in Python, Java, or Scala for building observability automation.</p><p><br/></p><p>- Deep expertise with data engineering frameworks (Spark, Airflow, dbt, Kafka, Glue, EMR).</p><p><br/></p><p>- Hands-on experience with observability/monitoring/logging tools (Datadog, Prometheus, Grafana, Monte Carlo, OpenTelemetry, OpenLineage).</p><p><br/></p><p>- Strong understanding of cloud data ecosystems (AWS, GCP, or Azure).</p><p><br/></p><p>- Familiarity with DevOps/CI-CD practices including Git, Jenkins/GitHub Actions, Docker, Kubernetes.</p><p><br/></p><p>- Knowledge of frontend tools (React/Angular, JavaScript/TypeScript) for custom observability dashboards is a plus.</p><p><br/></p><p>- Excellent problem-solving, debugging, and system-level thinking abilities.</p> (ref:hirist.tech)
                      
✨ Smart • Intelligent • Private • Secure
Practice for Any Interview Q&A (AI Enabled)
Predict interview Q&A (AI Supported)
Mock interview trainer (AI Supported)
Ace behavioral interviews (AI Powered)
Record interview questions (Confidential)
Master your interviews
Track your answers (Confidential)
Schedule your applications (Confidential)
Create perfect cover letters (AI Supported)
Analyze your resume (NLP Supported)
ATS compatibility check (AI Supported)
Optimize your applications (AI Supported)
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
European Union Recommended
Institution Recommended
Institution Recommended
Researcher Recommended
IT Savvy Recommended
Trades Recommended
O*NET Supported
Artist Recommended
Researchers Recommended
Create your account
Access your account
Create your professional profile
Preview your profile
Your saved opportunities
Reviews you've given
Companies you follow
Discover employers
O*NET Supported
Common questions answered
Help for job seekers
How matching works
Customized job suggestions
Fast application process
Manage alert settings
Understanding alerts
How we match resumes
Professional branding guide
Increase your visibility
Get verified status
Learn about our AI
How ATS ranks you
AI-powered matching
Join thousands of professionals who've advanced their careers with our platform
Unlock Your Equifax Data Potential: Insight & Career Growth Guide
Real-time Equifax Data Jobs Trends in Pune, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Equifax Data in Pune, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 155813 jobs in India and 4830 jobs in Pune. This comprehensive analysis highlights market share and opportunities for professionals in Equifax Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Equifax is currently hiring and seeking a Equifax Data Observability Lead Scala/Python to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Equifax Data Observability Lead Scala/Python Jobs Pune.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Equifax adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Equifax Data Observability Lead Scala/Python Jobs India varies, but the pay scale is rated "Standard" in Pune. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Equifax Data Observability Lead Scala/Python typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Equifax Data Observability Lead Scala/Python, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
 
            Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Equifax Data Observability Lead Scala/Python interview at Equifax, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Equifax's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
Setting up job alerts for Equifax Data Observability Lead Scala/Python is easy with India Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!