Job DescriptionAbout 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
What's in it for you?- Strong community: Work alongside top professionals in a friendly, open-door environment
- Growth focus: Take on large-scale projects with a global impact and expand your expertise
- Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications
- Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies
- Care: Healthcare, Basic Life Insurance, Short and Long-term disability insurance according to the Company's Benefit Plans
Interested already? We would love to get to know you! Submit your application. We can't wait to see you at Ciklum.
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