Data Engineer
Tasks
- Build CI/CD workflows
- Build ETL/ELT data pipelines
- Build real-time streaming pipelines
- Collaborate with analysts data scientists and BI teams
- Containerize services and manage deployments
- Deliver curated datasets for analytics and machine learning
- Implement data quality validation and anomaly detection
- Improve SQL performance and warehouse efficiency
- Ingest data from APIs SaaS and databases
- Model and optimize cloud data warehouses
- Monitor pipeline health and failures
- Orchestrate workflows and automate retries
- Provision cloud infrastructure with Infrastructure as Code
- Set up logging lineage and governance
Perks/Benefits
Skills/Tech-stack
AWS CloudFormation | Amazon Kinesis | Apache Airflow | BigQuery | CI/CD | Cloud Pub/Sub | Clustering | DBT | Dagster | Data Modeling | Data Warehousing | Docker | ELT | ETL | GDPR | GitHub Actions | GitLab CI | Google Cloud | Google Cloud Pub/Sub | Great Expectations | HIPAA | Jenkins | Kafka | Kubernetes | Luigi | Partitioning | Prefect | Pub/Sub | Python | Redshift | SQL | Scala | Snowflake | Snowflake Schema | Star Schema | Terraform
Education
N/A
Roles
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