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Sr Data Engineer
hace 4 semanas
Main responsibilities:
Act as a “tech lead” for internal analytical data products - work with business team and engineering leadership to prioritize development roadmaps and plan future projects, prioritize and plan the team’s work, communicate with stakeholders on progress, and unblock team members.
As an IC and team lead, build and maintain data pipelines using Redshift, Redshift, Dynamo, Athena, Glue, EMR, Kinesis, SQS, FIrehose, Redis, CDK, Step Functions, etc. These pipelines will process terabytes of information in batch and real-time, and will:
Be re-used by various upstream data producers to land their data to company analytical database or customer data center
Used in various of downstream business dashboards and machine learning models for batch or real-time customer decisioning and experience improving
Calculate real-time business-critical metrics that are used by executives and engineers to make prioritization decisions
3. Identify opportunities to simplify workflows, automate tasks, and build components that are reusable across multiple use-cases and teams.
4. Buildoutateamofdataengineersasbusinessneedsgrow.
What we are looking for:
● Experience:
8+ years experience in Data Engineering or back-end Software Engineering
5+ years experience in building and managing high performance engineer team with Agile framework
5+ years experience in building batch and real-time data pipelines that extract, transform, and load the data into analytical data warehouses or data lake
Creative, resourceful, and enthusiastic about seeking new solutions to problems and opportunities
● Skills and attitudes
Expert in SQL, git, and a programming language (ie Python, Java, etc)
Strong proficiency in Python
Familiarity with technologies like AWS Serverless, S3, Lambda, Redshift, Dynamo,
Athena, Glue, EMR, Kinesis, SQS, FIrehose, Redis, CDK, Step Functions
Experience with CI/CD (Continuous Integration, Continuous Delivery), Automated Testing, Automated Delivery
Business-proficiency in English
● Bonus Points:
Experience in building customer data center or large scale real-time/batch
customer feature data pipelines/microservices
Experience in developing real-time data pipeline for fintech companies
Experience with DBT and airflow
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