Senior Data Engineer
New
B
BinagoraEdtech
ArgentinaContractSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- AWSPostgreSQLPythonSQLData engineeringLLM
Requirements
- 5+ years of professional data engineering experience building and operating production pipelines.
- Strong proficiency in SQL and Python.
- Deep hands-on expertise with PostgreSQL.
- Strong experience in dimensional modeling and consolidating transactional schemas into analytic tables.
- Hands-on experience with Change Data Capture (CDC) and incremental loading strategies.
- Deep experience with the AWS Data Stack including Athena, Glue, DMS, S3, RDS, and Lambda.
- Proven experience establishing Master Data Management (MDM), metrics definitions, and data governance.
- Hands-on experience constructing AI-ready pipelines for RAG and LLM applications.
- Experience integrating third-party SaaS tools like HubSpot, Jira, and Zendesk is preferred.
- Familiarity with data observability and quality monitoring tools is preferred.
Responsibilities
- Own data pipeline design and implementation; consolidate 250+ transactional tables into ~10 analytic tables.
- Transition from weekly full-refresh to daily/near-real-time incremental loads using CDC tools like AWS DMS.
- Build and own a centralized analytics layer to serve BI, product, and AI needs.
- Establish unified data definitions, metrics, KPIs, and a Master Data Management (MDM) framework with governance standards.
- Partner with the Applied AI Engineer to design AI-ready data models including structures for RAG and LLM applications.
- Drive migration to the centralized layer while deprecating direct raw table access.
- Partner with internal departments to drive self-service analytics and build data marts for benchmarking.
- Conduct exploratory analysis for data validation and implement observability and monitoring tools.
- Expand the data lake to ingest third-party sources including HubSpot, Jira, and Zendesk.
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