2 months ago
Bengaluru, IndiaSenior
Responsibilities
- Partner with business and finance stakeholders to define data problems and deliver end-to-end solutions.
- Design, develop, maintain, troubleshoot, and enhance scalable GCP and BigQuery data pipelines and ELT processes.
- Build layered data platforms using Bronze, Silver, and Gold medallion architecture patterns.
- Create curated data products, analytical datasets, and semantic models for reporting, analytics, and decision-making.
- Integrate data from enterprise applications, finance systems, operational databases, APIs, and other source platforms.
- Perform data profiling, source-to-target mapping, reconciliation, cataloging, lineage documentation, and quality assessments.
- Apply standards for security, performance, scalability, testing, monitoring, governance, and production reliability.
- Use automation, generative AI, and agentic tools across discovery, mapping, SQL and pipeline generation, testing, documentation, and lineage.
- Build AI-native data solutions including natural-language data access, data agents, RAG/context layers, embeddings, and semantic search.
- Evaluate and operationalize agent orchestration, tool and function calling, MCP servers, prompt and context engineering, evaluations, and guardrails.
- Own delivery from design through deployment, stakeholder adoption, and continuous improvement.
- Contribute to sprint planning, backlog refinement, estimation, demonstrations, and continuous improvement.
Requirements
- At least 5 years of experience in data engineering, data warehousing, ETL, or ELT.
- Hands-on experience with GCP and Google BigQuery.
- Strong SQL skills and practical Python experience for data engineering use cases.
- Strong understanding of data warehouse architecture, dimensional modeling, data integration, and transformation techniques.
- Experience designing and supporting production-grade data pipelines with monitoring, error handling, testing, and performance optimization.
- Working knowledge of source control, CI/CD, automated testing, and deployment practices.
- Experience working in Agile teams.
- Strong communication, collaboration, problem-solving, initiative, adaptability, attention to detail, and technical judgment.
- Preferred experience implementing medallion or similar layered data-platform architecture.
- Preferred experience developing reports, dashboards, or semantic models in Microsoft Power BI.
- Preferred experience with finance, accounting, general ledger, accounts payable, accounts receivable, financial reporting, or reconciliation data.
- Preferred knowledge of financial data models, accounting concepts, performance metrics, and reconciliation processes.
- Preferred experience with Cloud Storage, Dataflow, Dataproc, Cloud Composer, Pub/Sub, or Cloud Functions.
- Preferred experience with data governance, metadata management, data cataloging, and data lineage.
- Preferred hands-on use of generative, agentic coding, or AI tools such as Claude or Codex.
- Preferred experience with prompt and context engineering, LLM APIs, RAG, embeddings or vector search, agent orchestration, or AI-assisted automation.
- Preferred experience owning analytics solutions from business problem definition through delivery, adoption, and enhancement.
Benefits
- UKG states that the role offers real flexibility and benefits employees can count on.
- The position includes collaboration with business, finance, analytics, product, and engineering stakeholders and ownership of end-to-end delivery.
- The role provides opportunities to deploy AI-enabled data solutions and improve engineering productivity through automation and responsible AI practices.
Tech Stack
Categories
AI ApplicationsData Engineering
About UKG
UKG builds cloud software for human capital and workforce management—HR, payroll, timekeeping, and scheduling—sold as SaaS to mid‑size and large employers. Formed in 2020 by the merger of Ultimate Software and Kronos, it is privately held by Hellman & Friedman and has dual headquarters in Lowell, Massachusetts, and Weston, Florida. Its platform helps organizations handle pay, compliance, and workforce planning across industries.