Data Engineer
Smart IT Frame
Skillset: Snowflake, S3, AWS CLI, Lambda, and DynamoDB, dbt, Qlik Replicate, InfoSphere DataStage, and CP4D, Data Vault, Python Job Description: 10+ years of data engineering experience with strong communication and problem-solving skills. Insurance business/data domain experience is a major plus. Design, build, and optimize scalable cloud data pipelines, data lakes, and data warehouse solutions supporting analytics, ML, and AI. Strong hands‑on experience with Snowflake, AWS (S3, Lambda, DynamoDB, AWS CLI), Python, dbt, Qlik Replicate, DataStage, and CP4D . Expertise in Data Vault modeling, data integration, ETL/ELT, data quality, cleansing, deduplication, and migration . Experience with API development, relational/NoSQL databases, Git, DevOps, and CI/CD . Strong understanding of data governance, metadata, lineage, security, and enterprise data management . Partner with business and technology teams to define requirements and deliver scalable data solutions. Provide technical leadership, mentoring, architecture guidance, and engineering standards . #J-18808-Ljbffr Smart IT Frame
Vacancy posted 3 days ago
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