Data Engineer Expert
hace 2 días
**Data Engineering Expert**
**Activities**:
- Assembling large, complex sets of data pipelines that meet non-functional and functional business requirements
- Redesign infrastructure for greater scalability, optimize data delivery, and automate manual processes, among other internal process improvements.
- Implementing cloud services and SQL technologies for optimal extraction, transformation, and loading of data from various sources
- Analyzing data pipelines to provide actionable insight into operational efficiency, customer acquisition, and other key performance metrics
- Providing technical assistance to stakeholders, including the data, design, product, and executive teams
- Supporting the Executive, Product, Data, and Design teams with their data infrastructure needs and assisting with data-related technical issues
**Tech Stack & Tools**:
**_Mandatory:_**
- Programming language (Python, Java or Scala)
- Cloud-based data Storage (S3, Cloud Storage or Blob Storage),
- Cloud-Based Analytics DW (BigQuery, Synapse, Redshift or Snowflake)
- Cloud transformation tool (Spark, Glue, Beam, Dataflow or ADF)
- Workflow orchestration tool (Airflow, Astronomer, Composer, Airbyte, Dagster or Step Functions)
- RDBMS Engines (Oracle, Microsoft SQL Server, IBM DB2, Teradata or Postgresql)
- Distributed Files Systems (Hadoop, EMR, Databricks or Dataproc)
**_Desired:_**
- Data Visualization tools (Data Studio, Power BI, Tableau or QuickSight)
- NoSQL Engines (Cassandra, MongoDB, GraphQL or Redis)
- Streaming system (Kafka, Storm, Flink or Flume)
- Data Quality Frameworks (Great Expectations, Soda, Pytest, Deequ)
- Infrastructure as Code Tools (Terraform, CDK, Azure Management Tools, Morpheus)
- Cloud certifications (Google Professional Data Engineer, AWS Certified Data Analytics, Microsoft Certified: Azure Data Engineer Associate)
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