Data Engineer II

NCR Atleos Corporation; Gurugram District; Vor Ort; INR 900.000 - 1.500.000; Vollzeit

Zusammenfassung

NCR Atleos in Gurugram, India is seeking a Data Engineer to design and operate ingestion pipelines from enterprise systems into the data lakehouse, balancing latency, volume, and cost using CDC, batch, streaming, and API-based methods.

You will model and curate data across Finance, Sales, Service and Supply Chain domains, implement SQL and Spark transformations, and ensure data quality, observability, and CI/CD practices are followed.

Qualifikationen

• Ingestion, integration and orchestration of data pipelines into a data lakehouse.
• SQL/stored procedures and Spark-based transformations.
• Data quality, reconciliation and observability across data domains.

Aufgaben

• Ingestion & integration: Build and operate ingestion pipelines from enterprise source systems into the data lakehouse, including CDC, batch, event streaming, analytics tooling, and API-based ingestion.
• Modeling & curation: Extend the medallion architecture with raw landing, cleansed, and curated layers; design conformed keys for cross-domain joins.
• Data quality, reconciliation & observability: Implement data accuracy metrics, reconciliation, and observability in the platform.
• Automation & CI/CD: Automate repetitive tasks, testing, deployment, and monitoring within CI/CD workflows.
• AI Systems Engineering context: manage model inputs, runtime components, and guardrails; contribute to evaluative tests and cost-aware design.

Jobbeschreibung

About NCR Atleos

NCR Atleos, headquartered in Atlanta, is a leader in expanding financial access. Our dedicated 20,000 employees optimize the branch, improve operational efficiency and maximize self-service availability for financial institutions and retailers across the globe.

Key Expectations Data Engineering — the foundation

Ingestion & integration Build and operate ingestion pipelines from enterprise source systems — cloud and on-premise ERP, CRM, ITSM, billing/revenue, planning and quoting platforms, and third-party operational systems — into the enterprise data lakehouse. Work across multiple ingestion patterns — change data capture (CDC), orchestrated batch pipelines, event streaming, packaged analytics/replication tooling, and API-based ingestion — and select the pattern that fits the latency, volume, and cost profile of the use case, including near-real-time ingestion where the business value justifies it. Own new-source onboarding end to end: source system analysis with application and ERP teams, schema and field availability confirmation, ingestion design, historical backfill, incremental load strategy, and exposure through the curated serving layers.

Modeling & curation Build and extend the medallion architecture — raw landing, cleansed/conformed, and curated business layers — including a conformed star-schema layer of facts and dimensions and a denormalized, query-optimized serving layer consumed by BI tools and downstream applications. Write and optimize SQL/stored-procedure and Spark-based transformations; model dimensional entities and conformed keys (customer, supplier, product, order, contract, site) so data joins cleanly across Finance, Sales, Service and Supply Chain domains. Build the semantic and reporting layer, landing business definitions, hierarchies and metric logic once in the curated layer with documented ownership — so definitions are reusable and AI-consumable rather than rebuilt inside every tool.

Data quality, reconciliation & observability Build and extend source-to-target reconciliation frameworks — record counts, change-timestamp deltas, and critical-column matching — and push beyond count-based recon toward content-level sync validation across replication, packaged-analytics and API-sourced data. Implement data accuracy, completeness and freshness/recency metrics per data domain and surface them through the platform's observability layer. Investigate and resolve production data disconnects end to end — isolate root cause across source, pipeline and curation; repair or reprocess; and put a control in place so the same failure doesn't recur. Reliability, performance & cost Tune long-running transformations and reduce compute consumption; contribute to platform right-sizing, storage cleanup and cost-optimization work. Manage schema drift and upstream release changes — programmatically detect deprecated or altered objects, assess downstream impact, and regression-test pipelines across lower environments before production. Work within CI/CD and Git-based change control, with automated test generation and validation rather than manual regression cycles. Support production: monitoring, alerting, incident triage and RCA for the pipelines you own, including month-end and quarter-close critical windows.

Automation Automate what the team does repeatedly — period-close processes, report generation, reconciliation, environment and admin workflows, infrastructure-as-code, and test generation — rather than absorbing the manual effort.

AI Systems Engineering Context engineering: assemble what enters each model call — facts, history, retrieved knowledge, state — favoring signal over volume. Harness & scaffolding: build components of the runtime around the model — tool/action interfaces, state handling, retries, error handling, stop conditions. Evaluations: write automated evals, groundedness checks, and regression tests so quality regressions are caught before users see them. Guardrails: apply input/output constraints, permission gates, and human-in-the-loop review per platform standards. Observability: instrument tracing and telemetry; investigate failures instead of retrying blindly. Work cost-aware — understand token and compute spend and where it goes. Offers of employment are conditional upon passage of screening criteria applicable to the job.

EEO Statement

NCR Atleos is an equal-opportunity employer. It is NCR Atleos policy to hire, train, promote, and pay associates based on their job-related qualifications, ability, and performance, without regard to race, color, creed, religion, national origin, citizenship status, sex, sexual orientation, gender identity/expression, pregnancy, marital status, age, mental or physical disability, genetic information, medical condition, military or veteran status, or any other factor protected by law.

Statement to Third Party Agencies

To ALL recruitment agencies: NCR Atleos only accepts resumes from agencies on the NCR Atleos preferred supplier list. Please do not forward resumes to our applicant tracking system, NCR Atleos employees, or any NCR Atleos facility. NCR Atleos is not responsible for any fees or charges associated with unsolicited resumes.

Help us bring innovation to financial institutions across the globe. At NCR Atleos, you’ll have meaningful and relevant work experiences, with opportunities to learn and make a real contribution. We are dedicated to solving the challenges our customers face through continuous innovation and a commitment to setting the highest standard in self-service banking. A career at NCR Atleos means embracing our innovative culture and values, seeking new adventures and carving your own path.