Senior Data Engineer: Scalable ETL & Data Infrastructure

WebDataGuru; Indiana (PA); On-site; USD 100,000 - 150,000; Full time

Job summary

WebDataGuru is seeking a Data Engineer to build and maintain the data infrastructure for ETL from diverse sources. You will assemble large datasets to meet business needs and enable data-driven decisions.

Responsibilities include automating data delivery with Python and SQL, deploying ML techniques for analytics, and building scalable pipelines and API integrations. You will also validate data and maintain schemas for accessible data layers.

Qualifications

• Degree in CS/Engineering; MCA/MSc CS acceptable.
• Experience with Python and SQL/NoSQL.
• Experience with ETL processes and AWS.
• Basic server knowledge.

Responsibilities

• Build and maintain data infrastructure for ETL workflows.
• Assemble large datasets to meet business needs.
• Automate data delivery with Python and SQL scripts.
• Create data validation methods for accuracy and reliability.
• Deploy ML techniques to support analytics.
• Develop scalable data pipelines and API integrations.
• Run ETL jobs and connect dashboards and reports.
• Create and maintain data schemas for organization.

Skills

Python

SQL/NoSQL

ETL

AWS

Data pipelines

Education

B.E./B.Tech CS/Engineering

M.C.A./M.Sc CS

Diploma/B.Sc./BCA (considered)

Job description

WebDataGuru is seeking a Data Engineer to build and maintain the data infrastructure for ETL from diverse sources. You will assemble large datasets to meet business needs and enable data-driven decisions.

Responsibilities include automating data delivery with Python and SQL, deploying ML techniques for analytics, and building scalable pipelines and API integrations. You will also validate data and maintain schemas for accessible data layers.