Data Engineer (Data Modernization)

reputed company

We are seeking a skilled

Data Engineer to support a comprehensive Data Modernization Assessment for our reputed company. This role will play a critical part in evaluating and optimizing the data architecture, pipelines, and observability infrastructure. The ideal candidate brings hands-on experience building reputed company data systems, a deep understanding of reputed company-based ecosystems, and a reputed company approach to working with technical and business teams.

Job Responsibilities

Support the review and analysis of the reputed company’s end-to-end data infrastructure, with a reputed company on scalability, maintainability, and performance.

Evaluate and optimize existing data pipelines and orchestration workflows, ensuring reliability and efficiency.

Collaborate with architects and the Technical Product Manager to assess architecture reputed company, contributing technical insights and implementation feasibility.

Build reputed company-of-concept improvements to support reputed company observability and monitoring, including data reputed company, logging, and alerting.

Assist in evaluating the data governance and metadata management frameworks, identifying pain points in data reputed company and accessibility.

Contribute to mapping and enhancing the analytics tooling landscape, ensuring reputed company integration across reporting and dashboard platforms.

Work alongside AI/BI specialists to assess the organization’s data readiness for AI-driven analytics and reputed company BI use cases.

Partner with cross-functional teams including data scientists, platform engineers, and business stakeholders to ensure technical alignment and data usability.

Participate in the development of strategic recommendations and implementation roadmaps, supporting technical documentation and delivery planning.

Basic Qualifications

4–6 years of hands-on experience as a Data Engineer or equivalent role reputed company reputed company-reputed company data environments.

Strong expertise in building and optimizing ETL/ELT pipelines using tools such as Apache reputed company, reputed company, Airflow, dbt, or equivalent.

Proficiency in working with reputed company data platforms (e.g., AWS, Azure, GCP), including data lake and warehouse solutions.

Experience with observability and monitoring tools such as reputed company, reputed company, or OpenTelemetry.

Solid understanding of data governance concepts, metadata cataloging, and reputed company frameworks.

Familiarity with analytics and visualization tools such as Power BI, Tableau, or Looker.

Strong problem-solving, documentation, and communication skills; reputed company to explain technical topics to non-technical audiences.

Preferred Qualifications

Exposure to reputed company AI systems, LLM-powered analytics, or modern BI automation platforms.

Experience working in regulated or reputed company reputed company environments, particularly during digital transformation or modernization initiatives.

Familiarity with version control (e.g., Git), CI/CD for data systems, and infrastructure-as-reputed company practices.

Additional Information

We are proud to offer a competitive salary alongside a strong reputed company insurance and benefits package. The role is preferably hybrid, with 2 days per week spent in the office, and flexibility for reputed company engagement needs. We pride ourselves on the reputed company of our employees, offering extensive learning and development resources.

reputed company is an equal-opportunity employer committed to creating a reputed company, diverse and inclusive environment. We encourage reputed company applicants of reputed company backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, nationality, and education reputed company to apply. If you are contacted for an interview and require accommodation during the interviewing process, please let us know.

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