Senior Big Data Engineer - SAP Concur Complete
São Leopoldo, BR, 93022-718
BRL 304K-396K (estimate) Senior-level Full Time
Tasks
- Build data pipeline infrastructure
- Build infrastructure as code
- Build lakehouse and data warehouse architectures
- Collaborate on canonical data models
- Design data pipelines
- Develop ETL/ELT workflows
- Ensure data quality and observability
- Implement CI CD for data code
- Implement real-time streaming pipelines
- Maintain Delta Lake and Apache Iceberg tables
- Optimize pipeline performance and costs
- Process batch and streaming data
- Set up data validation and lineage
Perks/Benefits
Skills/Tech-stack
ACID | AWS CDK | AWS EMR | AWS Glue | AWS Kinesis | AWS Lambda | AWS RDS | AWS S3 | Amazon Redshift | Apache Airflow | Apache Atlas | Apache Flink | Apache Iceberg | Apache Kafka | Apache Spark | Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure Synapse | Azure Synapse Analytics | Cloud Storage | CloudWatch | DBT | Data Lake Storage | Data Modeling | Databricks | Datadog | Dataframes | Delta Lake | Docker | DynamoDB | ELT | ETL | GitHub Actions | Google BigQuery | Google Cloud | Google Cloud Storage | Google Dataproc | Google Pub/Sub | Grafana | Great Expectations | HDFS | Hive | Idempotency | Kafka Streams | Kubernetes | Lakehouse | Monte Carlo | NoSQL | OpenLineage | OpenTelemetry | Pub/Sub | PySpark | Python | SQL | Schema evolution | Snowflake | Soda | Spark SQL | Structured Streaming | Synapse Analytics | Terraform | YARN
Education
N/A
Roles
Regions
Countries
States
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