Data Engineer: AWS ETL & BI Dashboards

Zyxware Technologies Pvt. Ltd

United States

On-site

USD 110,000 - 150,000

Full time

3 days ago
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Job summary

Zyxware Technologies Pvt. Ltd. seeks an experienced Data Engineer/ETL Specialist to design, build, and maintain the data architecture that supports critical agency reporting.

The role focuses on creating robust ETL pipelines in AWS using Python and developing insights via Power BI or Tableau dashboards. The ideal candidate transforms siloed raw data into actionable insights for agency leadership while ensuring data governance and regulatory compliance across projects.

Qualifications

  • Bachelor’s degree in CS/IS/Engineering or equivalent
  • 4+ years hands-on Data Engineering/ETL experience
  • Experience designing and implementing complex ETL pipelines
  • Strong Python for data processing
  • Proven experience in AWS cloud environment
  • Experience developing reports/visualizations using Power BI or Tableau
  • Strong SQL skills

Responsibilities

  • ETL Pipeline Development: Design, develop, and automate scalable ETL/ELT processes to move data into our central data warehouse.
  • AWS Infrastructure Management: Utilize AWS services to architect secure and efficient data solutions.
  • Data Transformation & Coding: Write clean Python code for data manipulation, cleansing, and validation.
  • Business Intelligence Reporting: Develop interactive dashboards/reports using Power BI or Tableau to track KPIs.
  • Data Governance: Ensure data architecture complies with security standards and privacy regulations.

Skills

Python
SQL
AWS
Power BI
Tableau
ETL
Data governance

Education

Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent

Tools

Python
AWS
Power BI
Tableau
Snowflake

Job description

Zyxware Technologies Pvt. Ltd. seeks an experienced Data Engineer/ETL Specialist to design, build, and maintain the data architecture that supports critical agency reporting.

The role focuses on creating robust ETL pipelines in AWS using Python and developing insights via Power BI or Tableau dashboards. The ideal candidate transforms siloed raw data into actionable insights for agency leadership while ensuring data governance and regulatory compliance across projects.

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