Senior Data Engineer — Cloud Data Lakehouse & AI Pipelines

Ciklum; United States; On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Healthcare

Life Insurance

Disability Insurance

Job summary

Ciklum is seeking a Senior Data Engineer in the United States to design, build, and optimize enterprise data pipelines with a cloud-first approach. You will create scalable lakehouse architectures, model data for analytics, and collaborate with product, engineering, and business teams to deliver high-quality data solutions.

The role emphasizes data governance, security, and performance, with exposure to AWS and Azure platforms, Databricks, and BI tools.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, or related field.
• 4+ years of data engineering or data platform experience.
• Strong cloud data platform experience (AWS/Azure).

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines across ERP, CRM, and operational systems.
• Build and support cloud-based datalakehouse architecture with governance standards.
• Develop data models, semantic layers, and curated datasets for analytics and BI.
• Translate business requirements into technical data solutions with stakeholders.

Skills

ETL/ELT design

SQL proficiency

Data warehousing

Data modeling

Multi-cloud

CI/CD

Communication

Analytics

Education

Bachelor's degree in CS/IS or related field

Tools

Databricks

Spark

Azure Fabric

Data Factory

SSIS

DMS

Redshift

S3

Power BI

Git

Azure DevOps

Job description

Ciklum is seeking a Senior Data Engineer in the United States to design, build, and optimize enterprise data pipelines with a cloud-first approach. You will create scalable lakehouse architectures, model data for analytics, and collaborate with product, engineering, and business teams to deliver high-quality data solutions.

The role emphasizes data governance, security, and performance, with exposure to AWS and Azure platforms, Databricks, and BI tools.