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Apply for the Data Analyst position at Infosys in Bengaluru East. Analyse enterprise telemetry, optimise big data workflows, and build observability dashboards using SQL, Python, Kafka, Kibana, Grafana, and Hadoop/Spark ecosystems.

About the Company: Infosys

Infosys Limited (NYSE: INFY) is a global leader in next-generation digital services and consulting, operating across more than 50 countries to guide multinational corporations through their digital transformation journeys. With over three decades of experience managing complex enterprise infrastructure, Infosys excels at equipping businesses with an AI-powered core, accelerating agile systems at scale, and fostering an always-on learning ecosystem.

This strategic corporate position is integrated within the Enterprise Data Platform & Infrastructure Division in Bengaluru East, Karnataka. This division designs and monitors the massive real-time pipelines, cloud infrastructure, and operational observability frameworks that support continuous system performance for Fortune 500 organisations worldwide.

About the Role: Data Analyst (Data Platform & Infrastructure Observability)

Are you an analytical data specialist who loves tracking high-throughput data pipelines, monitoring large cloud clusters, and transforming complex operational metrics into interactive dashboards? Infosys is hiring a full-time, permanent Data Analyst to join its engineering operations group in Bengaluru East, Karnataka. This role is tailored for early-career data professionals bringing 2+ years of hands-on experience who excel at the intersection of big data infrastructure and business intelligence.

In this position, you will bridge the gap between technical infrastructure squads and corporate business stakeholders. Your daily focus will center on analysing real-time data flows, building diagnostic observability dashboards using Kibana and Grafana, and monitoring performance patterns using Prometheus and Dynatrace. By translating complex business requirements into structured engineering specifications, you will ensure data platform performance, audit data governance frameworks, and optimise distributed environments built on Hadoop, Spark, and major cloud platforms.

Key Responsibilities & Data Analytics Workflows

  • Infrastructure Observability & Tracking: Design, configure, and maintain real-time telemetry metrics and system dashboards inside Kibana, Grafana, and Prometheus to audit data pipeline flows.

  • Big Data Performance Diagnostics: Monitor, evaluate, and analyse operational transaction speeds across distributed big data architectures running on Hadoop and Spark.

  • Real-Time Log Interpretation: Write advanced search syntax using Lucene Query Language and Google Standard SQL to parse high-volume system log data and isolate structural errors.

  • Stakeholder Requirements Translation: Collaborate closely with corporate leadership to understand operational needs, translating complex business problems into clear technical requirements for data engineering teams.

  • Pipeline & Queue Analysis: Trace streaming event delivery queues through Apache Kafka to prevent processing bottlenecks and guarantee structural data consistency.

  • CI/CD Pipeline Tracking: Monitor code deployments and system validation lifecycles using Git version control and Jenkins automation servers.

  • Data Governance & Security Auditing: Enforce data access policies, verify security compliance metrics, and ensure strict alignment with enterprise governance standards across all analytical layers.

Candidate Prerequisites & Key Technical Skills

Successful candidates must combine a strong analytical mindset with a practical understanding of distributed systems and modern system-tracking tools.

Required Experience & Educational Baseline:

  • Professional Tenure: 2+ years of verifiable experience in hands-on data analysis, log diagnostics, data visualisation, or infrastructure monitoring tracks.

  • Technical Toolkit Core: Practical familiarity using Python and Google Standard SQL to execute data extraction, transformation, and structural pattern filtering.

  • Observability Stack: Hands-on experience building monitoring charts and visual reporting frameworks inside Kibana, Grafana, Prometheus, or Looker.

  • Distributed Systems Framework: Conceptual or practical familiarity with big data ecosystems like Hadoop and Spark, along with message streaming via Kafka.

  • Systems Management Applications: Familiarity with application performance monitoring software (such as Dynatrace), source code branching (Git), and automated builds (Jenkins).

Preferred Qualifications & Strategic Competencies:

  • Cloud Platform Knowledge: Experience analysing data structures hosted on primary cloud environments like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).

  • Agile Delivery Fluency: Comfortable navigating active sprint cycles, cross-team collaborations, and continuous deployment tasks under Agile development methodologies.

  • Communication Mastery: Exceptional interpersonal, verbal, and written English communication skills, with a proven ability to explain complex technical states clearly to non-technical business partners.

Core Position Specifications

  • Position Title: Data Analyst (Platform Observability Track)

  • Hiring Organisation: Infosys Limited

  • Corporate Work Location: Bengaluru East, Karnataka, India

  • Experience Allotment: 2+ Years of professional background in data engineering or analytics environments

  • Remuneration Allotment: Competitive corporate package matching industry standards (Not Disclosed)

  • Employment Framework: Full-Time, Permanent corporate assignment

  • Functional Focus: Systems Telemetry, Data Modelling, Pipeline Diagnostics, and KPI Dashboarding

  • Industry Placement: IT Services, Digital Transformation & Management Consulting

  • Functional Department: Data Science & Analytics / Infrastructure Operations

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