Data Engineer
Ciklum
Full Time4+ yearsPosted 18 days ago
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Overview
Position Type
Full Time
Experience
4+ years
Job Description
About the role:
As a Senior Data Engineer, become a part of a cross-functional development team engineering experiences of tomorrow. Design, build, and optimize enterprise data pipelines and lakehouse solutions aligned to Client's data architecture, governance standards, and cloud-first strategy. Partner with cross-functional teams to deliver secure, scalable, and high-quality data solutions that enable analytics, reporting, and AI-driven capabilities.
Responsibilities:
- Design, develop, and maintain scalable ETL/ELT pipelines across enterprise systems including ERP, CRM, and operational platforms
- Build and support ICC’s cloud-based data lakehouse architecture (aligned to medallion layers and governance standards)
- Develop and maintain data models, semantic layers, and curated datasets for analytics and business intelligence
- Translate business requirements into technical data solutions in collaboration with product, engineering, and business stakeholders
- Ensure data quality, integrity, and security in alignment with ICC data governance and compliance standards
- Optimize SQL queries, data pipelines, and storage performance across AWS and Azure platforms
- Support data integration initiatives including Data Lake, D365 ERP, and CRM/AMS platforms
- Monitor pipeline health, troubleshoot issues, and ensure high availability and reliability of data systems
- Contribute to continuous improvement of data architecture, standards, and best practices
- Support AI and analytics initiatives by enabling high-quality, accessible data for downstream consumption
- Ability to establish positive working relationships with multiple disciplines of Information technology department & staff levels
- Demonstrated ability to collaborate and receive feedback regarding ongoing projects
- Demonstrated ability to respond to business issues with the appropriate sense of urgency
- Sense of when to escalate a problem or ask for assistance
Requirements:
- 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
Desirable:
- 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