Senior Data Engineer: Cloud Data Lakes & AI Enablement

Ciklum; United States; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Healthcare

Life Insurance

Disability Insurance (Short & LongTerm

Udemy access

Language courses

Company-paid certifications

Job summary

Ciklum is seeking a Senior Data Engineer to join our US team full-time. You will design, build, and optimize enterprise data pipelines and lakehouse solutions within a cloud-first strategy, partnering with cross-functional teams to deliver secure, scalable data solutions for analytics and AI capabilities.

Responsibilities include designing and maintaining ETL/ELT pipelines across ERP/CRM platforms, developing data models, and ensuring data quality and security per governance standards.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or related field.
• 4+ years of experience in data engineering or data platform development.
• Strong experience designing and building ETL/ELT pipelines in cloud environments.
• Hands-on experience with AWS (S3, Redshift, Glue, DMS) and Azure (Data Factory, SSIS).
• Strong proficiency in SQL and relational database design.
• Solid understanding of data warehousing, data lakes, and lakehouse architecture.
• Experience with structured, semi-structured, and unstructured data processing.
• Experience with data modeling, data quality, and performance optimization.
• Strong analytical, problem-solving, and communication skills.
• Experience with medallion/lakehouse architecture patterns.
• Experience working in multi-cloud environments (AWS and Azure).
• Experience with Databricks, Spark, or Azure Fabric.
• Experience with Power BI or enterprise reporting platforms.
• Familiarity with AI/ML data enablement and tools (e.g., AWS Bedrock, RAG concepts).
• Experience with Git, Azure DevOps, and CI/CD practices.
• Understanding of Agile methodologies and SDLC.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines across enterprise systems.
• Build and support cloud-based datalakehouse architecture aligned to governance standards.
• Develop and maintain data models, semantic layers, and curated datasets for analytics.
• Translate business requirements into technical data solutions with stakeholders.
• Ensure data quality, integrity, and security in line with governance and compliance.

Skills

Data engineering

ETL/ELT pipelines

Cloud data architectures

SQL

Data modeling

Analytics

Communication

Agile methodologies

Education

Bachelor’s degree in Computer Science or related field

Tools

AWS

Azure

Databricks

Spark

Power BI

Git

Azure DevOps

CI/CD

Data Factory

SSIS

DMS

S3

Redshift

Job description

Ciklum is seeking a Senior Data Engineer to join our US team full-time. You will design, build, and optimize enterprise data pipelines and lakehouse solutions within a cloud-first strategy, partnering with cross-functional teams to deliver secure, scalable data solutions for analytics and AI capabilities.

Responsibilities include designing and maintaining ETL/ELT pipelines across ERP/CRM platforms, developing data models, and ensuring data quality and security per governance standards.