Senior Data Engineer

Ciklum • United States,

2d

About The Position

Ciklum is seeking a Senior Data Engineer to join its team full-time in the US. The role is part of a cross-functional development team and focuses on designing, building, and optimizing enterprise data pipelines and lakehouse solutions in alignment with client data architecture, governance standards, and cloud-first strategy. The Senior Data Engineer partners with cross-functional teams to deliver secure, scalable, high-quality data solutions that support analytics, reporting, and AI-driven capabilities.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• At least 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 processing structured, semi-structured, and unstructured data.
• Experience with data modeling, data quality, and performance optimization.
• Strong analytical, problem-solving, and communication skills.

Nice To Haves

• 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, such as AWS Bedrock and 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, 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.
• Establish positive working relationships with multiple disciplines and staff levels in the Information Technology department.
• Collaborate and receive feedback regarding ongoing projects.
• Respond to business issues with the appropriate sense of urgency.
• Recognize when to escalate a problem or ask for assistance.

Benefits

• 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.
• Internal events including meetups, conferences, and workshops; Udemy access; language courses; and company-paid certifications.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior