Mid-Level Data Engineer
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Job Location:
St. Louis, MO - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Job Summary (List Format):
- Develop and maintain ETL/ELT pipelines and data workflows for data warehousing projects.
- Process and transform large datasets using SQL Hadoop Spark and Python.
- Support integration of structured and unstructured data from multiple sources.
- Collaborate with senior engineers to apply best practices in coding performance tuning and data quality.
- Gain experience in real-time/streaming data ingestion using Apache NiFi.
- Contribute to cloud platform projects (AWS Azure or GCP).
- Document data workflows data lineage and provide operational support for data systems.
- Utilize strong analytical and debugging skills to resolve data issues.
- Work collaboratively within an agile team environment.
- Develop and maintain ETL/ELT pipelines and data workflows for data warehousing projects.
- Process and transform large datasets using SQL Hadoop Spark and Python.
- Support integration of structured and unstructured data from multiple sources.
- Collaborate with senior engineers to apply best practices in coding performance tuning and data quality.
- Gain experience in real-time/streaming data ingestion using Apache NiFi.
- Contribute to cloud platform projects (AWS Azure or GCP).
- Document data workflows data lineage and provide operational support for data systems.
- Utilize strong analytical and debugging skills to resolve data issues.
- Work collaboratively within an agile team environment.
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
