Senior Data Engineer
New
K
KunaiFinancial Services
Remote - United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 3+ years
- Required Skills
- AWSPythonSQLETLSnowflakeDatabricksAWS LambdaPySpark
Requirements
- 3+ years of experience with data engineering principles and working experience with data-driven decision-making platforms
- Experience in Python Development and PySpark
- 2+ years of experience working in large data environments
- Experience with data ingestion processes and ETL workflows
- Experience with Snowflake or DataBricks
- Expertise with high availability & distributed systems
- Experience working with a variety of AWS services
- Experience with serverless architectures and Lambdas
- Experience with scripting languages (e.g., Python, Shell scripting) to automate data ingestion tasks is a plus
- Familiarity with relational databases and querying languages such as SQL
- Strong attention to detail and ability to meet strict SLAs
- Effective communication skills, with ability to coordinate across teams
- Bachelor’s Degree, or in lieu of a degree, demonstrating in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college is required
Responsibilities
- Prepare and manage pre-stage files for backbook conversion activities
- Support and execute data ingestion tasks in alignment with scheduled project events, including key mock events
- Monitor and ensure data ingestion completion within defined SLA windows
- Troubleshoot and resolve ingestion issues promptly to maintain data integrity and project timelines
- Maintain detailed documentation of ingestion processes, schedules, and completion statuses
- Proactive problem-solving approach
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