Note: The job is a remote job and is open to candidates in USA. Ciklum is a custom product engineering company that supports multinational organizations and scaling startups with complex business challenges. The Senior Data Engineer will design, build, and optimize enterprise data pipelines and lakehouse solutions while partnering with cross-functional teams to deliver secure, scalable data capabilities for analytics, reporting, and AI-driven initiatives.
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
Skills
- 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
Benefits
- Work alongside top professionals in a friendly, open-door environment
- Take on large-scale projects with a global impact and expand your expertise
- Internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications
- Internal mobility opportunities to explore diverse domains and gain hands-on experience with cutting-edge technologies
- Healthcare according to the Company’s Benefit Plans
- Basic Life Insurance according to the Company’s Benefit Plans
- Short and Long-term disability insurance according to the Company’s Benefit Plans
Company Overview
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