Senior Data Engineer
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Job Description
Senior Data Engineer at Reply managing data pipelines and collaborating on data-driven solutions. Working with emerging technologies like AI, Cloud, and Big Data.
Responsibilities:
- Build and manage reliable data pipelines involving ingestion/collection, processing, integration, storage, and data availability across the organization
- Work within a distributed systems architecture for massively parallel (MPP) data processing, combining diverse heterogeneous data sources and collaborating with analytics and data science teams to build solutions and generate data-driven value
Requirements:
- Practical experience with ingestion, integration, processing, and storage of large volumes of data
- Experience working on Big Data projects
- Behavior Driven Development (BDD)
- Data extraction using Python and data processing with PySpark
- Experience with ETL tools
- Knowledge of relational and dimensional data modeling (Data Warehouse)
- Experience with SQL databases
- Experience with Big Data-related AWS toolset such as EMR, Kinesis, Redshift, S3, Glue, Elasticsearch
- Knowledge of Kafka
- Knowledge of Data Lake and DataOps
- Experience with Data Science
- Preferred/Differential: AWS certifications
- Knowledge of infrastructure provisioning tools as code for cloud such as Terraform and CloudFormation
Benefits:
- Swile flexible card you can use as you wish (meal and food allowances)
- Totalpass or Gympass
- Mental health support – Psicologia Viva
- Bradesco Health Plan
- Bradesco Dental Plan
- Profit sharing
- Childcare assistance for our moms
- Incentives for certifications
- Special talks and webinars
- RAF referral bonus program
- Life insurance
- Subsidy for English or Italian
- Open English discount
- Birthday gift
- Possibility to relocate to another country
- Partnerships with universities
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