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High — Tier-1 brand, metro location, common Data Engineer title, and broad required skillset increase competition.
Medium — core data engineering skills transfer broadly, but regulated financial context favors domain experience.
Medium — multiple mandatory cloud, Snowflake, and programming skills but no explicit years requirement.
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Develop and support cloud-based data solutions including databases, data streaming, data lakes, analytics, and self-service tools for internal customers.
Ensure solutions are secure, highly available, and compliant within a regulated environment.
Contribute to process improvements and automation to streamline technical operations and enhance service delivery.
Practical experience with Snowflake database technology.
Working knowledge of AWS core services including IAM, networking, Lambda, EC2, S3, SQS/SNS, and scheduling tools.
Proficient in Python, BOTO, and SQL programming; JavaScript is a bonus.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in delivering changes using CI/CD pipelines, preferably with Terraform.
Able to collaborate effectively across teams and departments with strong communication skills in English.
Proactive in supporting both development and operational support within a cloud and highly regulated data platform environment.