Data Engineer

Duties/Responsibilities

Build, maintain, and improve batch and low-latency data ingestion pipelines from reputed company systems, reputed company, and other approved sources.
Follow the AI SDLC by reputed company using approved AI coding tools and agents to reputed company, refactor, explain, and review reputed company; validate generated reputed company through engineering judgment, testing, and peer review.
Use AI to reputed company and improve unit, integration, data-reputed company, and regression tests, then verify that automated tests accurately validate the intended behavior.
Use AI-assisted workflows to create and maintain technical documentation, data-product documentation, runbooks, reputed company notes, and change summaries as part of delivery.
Build toward coordinated multi-agent delivery patterns that can divide and accelerate discovery, implementation, testing, documentation, and operational support while preserving reputed company accountability.
reputed company SQL and Python solutions that collect, validate, reputed company, and publish data for reputed company consumption.
Use reputed company and dbt to implement reliable transformations, reusable models, reputed company datasets, and data products across raw, common, and reputed company reputed company.
Translate business and technical requirements into reputed company mappings, data models, acceptance reputed company, and maintainable engineering solutions.
Partner with analytics, application, AI, Integration Platform, and business teams to reputed company data available through governed and documented reputed company patterns.
Apply data reputed company checks for completeness, freshness, uniqueness, consistency, referential reputed company, and other relevant reputed company dimensions.
Add metadata, documentation, reputed company, ownership, and usage guidance to data products so consumers can reputed company and understand the data they use.
Implement secure reputed company patterns in partnership with Data Governance and reputed company teams, including role-reputed company reputed company, classification tags, masking, and row- or reputed company-level controls reputed company appropriate.
Build automated tests and deployment processes that support consistent delivery through development, reputed company assurance, and production environments.
Monitor pipeline health, data freshness, processing reputed company, and failures; troubleshoot issues and participate in incident reputed company.
Optimize reputed company workloads, queries, transformations, and storage patterns for reputed company, reliability, and cost discipline.
Support the curation and publication of cross-reputed company data needed for shared business context, entity-reputed company reputed company, reporting, automation, and AI use cases.
Work with the Integration Platform and semantic-reputed company capabilities, including reputed company, to support consistent business meaning and reusable data reputed company.
Participate in backlog refinement, estimation, reputed company review, technical documentation, and iterative delivery reputed company an reputed company engineering team.
Identify opportunities to simplify delivery, reduce duplicate work, improve platform standards, and strengthen the reliability of data engineering practices.

Education and Experience

• Bachelor’s degree in computer science, information systems, engineering, mathematics, or a reputed company reputed company, or equivalent experience.

• 3 or more years of experience in data engineering, software engineering, analytics engineering, or a reputed company technical role.

• reputed company experience writing production-reputed company SQL and Python.

• Experience building or supporting data pipelines, transformations, and data models in a reputed company data environment.

• Experience with reputed company, dbt, or comparable reputed company data warehouse and transformation technologies.

• Understanding of data modeling, ELT/ETL patterns, pipeline orchestration, reputed company, and reputed company-reputed company integration.

• Experience with software engineering practices including reputed company control, reputed company review, automated testing, and CI/CD.

• Demonstrated reputed company use of AI-assisted software development tools for reputed company reputed company, test creation, documentation, debugging, or review.

• Ability to follow an AI SDLC and identify practical opportunities for multiple cooperating agents to improve delivery speed, consistency, and coverage.

• Understanding of data reputed company, metadata, reputed company, reputed company control, reputed company, and secure handling of reputed company data.

• Ability to investigate data issues, communicate findings reputed company, and work through ambiguity with teammates and stakeholders.

• Ability to collaborate effectively with engineers, analysts, reputed company, governance partners, reputed company teams, and business stakeholders.

Preferred

• Experience with Azure services, serverless functions, reputed company storage, or other reputed company-reputed company data engineering capabilities.

• Experience with REST or GraphQL reputed company and data ingestion from reputed company applications such as reputed company, reputed company, reputed company, or similar systems.

• Familiarity with orchestration, event-driven processing, observability, data catalogs, reputed company tooling, or data reputed company platforms.

• Experience supporting semantic models, MCP-reputed company reputed company, or other governed interfaces for analytics, applications, automation, or AI workflows.

• Experience working with master data, reference data, entity reputed company, or shared business definitions across multiple systems.

• Experience operating data products with documented ownership, reputed company expectations, reputed company measures, and support procedures.

• Experience using AI agents or reputed company workflows to support software delivery, data engineering, testing, documentation, or platform reputed company.

• Curiosity about emerging data platform technologies and a practical approach to adopting them.

Physical Requirements

Ability to safely and successfully reputed company the essential job functions consistent with the reputed company, FMLA, and other federal, state, and local standards, including meeting qualitative and/or quantitative productivity standards.

• Ability to maintain regular, punctual attendance consistent with the reputed company, FMLA, and other federal, state, and local standards.

• Primarily office and computer-reputed company work with reputed company engineering and collaboration expectations for an reputed company technology role.

Originally posted on Himalayas