Bits In Glass

Responsibilities

• Act as a liaison between business and technical teams to bridge gaps and support successful project delivery.
• Maintain high-quality metadata and data artifacts that are accurate, complete, consistent, unambiguous, reliable, accessible, traceable, and valid.
• Create and deliver high-quality data models while adhering to defined data governance practices and standards.
• Translate high-level functional or business data requirements into technical solutions, including database design and data mapping.
• Participate in requirement-gathering activities, elicitation, gap analysis, data analysis, effort estimation, and review processes.

Qualifications

• 6–12 years of strong data analysis and/or data modeling experience.
• Strong individual contributor with solid understanding of SDLC and Agile methodologies.
• Comprehensive expertise in conceptual, logical, and physical data modeling.

Skills

• Strong financial domain knowledge and data analysis capabilities.
• Excellent communication and stakeholder management skills.
• Ability to work effectively in a fast-paced and continuously evolving environment.
• Problem-solving mindset with a solution-oriented approach.
• Team player with a self-starter attitude and strong sense of ownership.
• Proficiency in SQL, MS Office tools, GCP BigQuery, Erwin, and Visual Paradigm (preferred).

Design, build, and operate end-to-end web and API solutions (front end + back end) with strong automation, observability, and production reliability. You will own features from concept through deployment and steady state, including incident response and continuous improvement.

Key Responsibilities:

Engineering & Delivery

• Translate business requirements into technical designs, APIs, and data models.
• Develop back-end services using Java and Python, and front-end components using React / Angular / Vue (where applicable).
• Build REST / GraphQL APIs, batch jobs, streaming jobs, and system integration adapters.
• Write efficient SQL/NoSQL queries; optimize schemas, indexes, and data flows (ETL / CDC as needed).

Automation, CI/CD & Operations

• Automate builds, testing, packaging, and deployments using CI/CD pipelines.
• Create Linux shell and Python scripts for operational tasks, environment automation, and diagnostics.
• Manage configuration, feature flags, environment parity, and Infrastructure as Code (where applicable).

Reliability, Security & Quality

• Embed security best practices: authentication/authorization, input validation, secrets management, TLS.
• Implement unit, integration, contract, and performance tests with enforced quality gates.
• Add observability: structured logs, metrics, traces, health checks, dashboards, and alerts.
• Apply resilience patterns: retries, timeouts, circuit breakers, and graceful degradation.

Production Ownership

• Participate in on-call rotations, incident triage, RCA, and permanent fixes.
• Refactor legacy code and reduce technical debt with measurable impact.
• Maintain technical documentation, runbooks, and architecture decision records (ADRs).

Collaboration & Leadership

• Mentor peers and contribute to engineering standards and best practices.
• Work closely with Product, QA, Security, and Ops to balance scope, risk, and timelines.

Qualifications

Must Have

• Strong experience in Java (core concepts, concurrency, REST frameworks).
• Strong Python experience (services + scripting).
• Solid Linux skills with automation using shell/Python.
• Web services expertise: REST/JSON, API design, versioning, pagination, error handling.
• Databases: Relational (SQL tuning, transactions) plus exposure to NoSQL / caching (Redis).
• CI/CD tools: Git, pipelines, artifact management.
• Testing frameworks: JUnit, PyTest, API testing tools.
• Observability tools: Prometheus, Grafana, ELK, OpenTelemetry (or equivalents).
• Strong production support mindset with incident management, SLA/SLO awareness, and RCA experience.

Good to Have

• Messaging & streaming platforms: Kafka, MQ.
• Infrastructure as Code: Terraform, Ansible.
• Cloud exposure: AWS / Azure / GCP, including managed data services.
• Front-end experience with React / Angular / Vue and TypeScript.
• Deployment strategies: feature flags, canary, blue/green.
• Knowledge of cost optimization and capacity planning.

Key Performance Indicators (KPIs)

• Deployment frequency & change failure rate
• Mean Time to Detect (MTTD) & Mean Time to Recover (MTTR)
• API latency (p95) and availability vs SLOs
• Defect escape rate & automated test coverage
• Technical debt reduction (items resolved per quarter)
• Incident recurrence trend (continuous reduction)

Soft Skills

• End-to-end ownership mindset
• Data-driven decision making
• Bias for automation and simplification
• Proactive risk identification
• Clear, timely, and effective communication

About the Company – Bits In Glass

• 20+ years of industry experience
• Merged with Crochet Technologies in 2021 to form a larger global organization
• Offices in Pune, Hyderabad, and Chandigarh
• Top 30 global Pega partner and sponsor of PegaWorld
• Elite Appian Partner since 2008
• Operations across US, Canada, UK, and India
• Dedicated Global Pega Center of Excellence

Employee Benefits

• Career Growth: Clear advancement paths and learning opportunities
• Challenging Projects: Global, cutting-edge client work
• Global Exposure: Collaboration with international teams
• Flexible Work Arrangements: Work-life balance support
• Comprehensive Benefits: Competitive compensation, health insurance, paid time off
• Learning & Upskilling: AI-enabled Pega solutions, data engineering, integrations, cloud migration

Company Culture & Values

• Collaborative & Inclusive: Teamwork, innovation, and respect for diverse ideas
• Continuous Learning: Certifications and skill development encouraged
• Integrity: Ethical and transparent practices
• Excellence: High standards in delivery
• Client-Centricity: Tailored solutions with measurable impact