Senior Data Engineer

Market insights

Stack

Free. Sign in with email.

Apply

Upload your CV — we will connect you with the employer directly through our pool.

Description

About the Role We are seeking a Senior Data Engineer with deep expertise in enterprise data platforms, banking domains, and large-scale data delivery. In this role, you will lead the design and development of robust data pipelines across Teradata, Hadoop/Cloudera, and cloud ecosystems while mentoring engineering talent and driving technical excellence. Key Responsibilities Architecture & Development: Lead the design and implementation of scalable batch, streaming, and API-based data pipelines, historical-data processing frameworks, SCD/CDC mechanisms, and semantic-layer data products. Performance & Optimization: Optimize complex SQL queries, Spark workloads, partition strategies, and storage frameworks for large-volume processing within regulated enterprise banking environments. Infrastructure & Automation: Implement infrastructure-as-code using Terraform and establish automated CI/CD pipelines, containerized deployments, and rigorous testing standards. Leadership & Collaboration: Drive code reviews, enforce engineering standards, mentor junior engineers, and partner closely with architects, product teams, DevOps, and business stakeholders. What You Will Need to Succeed Minimum 10 years of relevant experience in Data Engineering Education: Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related discipline Preferred Certifications: Teradata, Cloudera, Databricks, Cloud Data Engineering, or Terraform Core Technologies: Teradata, Hadoop/Cloudera,

Full description, company and the link to apply — after you sign in. Sign in

Employer contacts (email/phone/telegram) are hidden from the public preview — send your CV, and we will connect you directly.