Senior Data Engineer: Azure Data Pipelines & AI

OpenKrill

United States

Remote

USD 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Health and dental insurance
Meal and food allowance
Childcare assistance
Extended paternity leave
Wellhub membership (Gympass)
Profit Sharing and Results Particip
Life insurance
Continuous learning platform
Discount club
Well-being platform access
Parenting support programs
Online learning partnerships
Language learning platform

Job summary

CI&T is hiring a data engineer to design and maintain high-quality data pipelines in Azure (ADF, Synapse, Databricks) and occasionally on-premises. You will work with BI, Data Science, and Software Engineering teams to ensure scalable, secure data flows and compliant data handling.

You'll develop and optimize ETL/ELT processes, leverage SQL Server, and contribute to data governance. The role emphasizes adaptability, knowledge sharing, and continuous learning in a global, transformative

Qualifications

  • Solid experience with Azure data tools (ADF, Synapse, Databricks).
  • Strong SQL and data modelling skills.
  • Experience building ETL/ELT pipelines and dashboards (Power BI).
  • Willingness to learn new cloud-native frameworks and tools.

Responsibilities

  • Define, build, and deliver data pipelines in Azure and on-prem when needed.
  • Maintain pipelines with monitoring, incident handling, and improvements.
  • Participate in data validation and ensure non-functional requirements.
  • Collaborate with BI, Data Science, and Software Eng teams to deliver data solutions.

Skills

Adaptability
Knowledge sharing
Learning new frameworks
Collaboration with BI/Data Science/SE

Tools

ADF
Synapse
Databricks
ADLS
Power BI
SQL Server
Git
CI/CD
Python
Scala
Airflow

Job description

CI&T is hiring a data engineer to design and maintain high-quality data pipelines in Azure (ADF, Synapse, Databricks) and occasionally on-premises. You will work with BI, Data Science, and Software Engineering teams to ensure scalable, secure data flows and compliant data handling.

You'll develop and optimize ETL/ELT processes, leverage SQL Server, and contribute to data governance. The role emphasizes adaptability, knowledge sharing, and continuous learning in a global, transformative

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