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Tech Stack
Tools & technologiesAWSDistributed SystemsETLPySparkPythonShell ScriptingSQL
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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
Benefits
Comp & perks- Competitive compensation
- Professional development opportunities
- Flexible work arrangements
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonPySparkETLdata ingestionAWSSnowflakeDataBricksSQLserverless architectureLambdas
Soft Skills
problem-solvingattention to detaileffective communication
