Senior Data Engineer
Tasks
- Build real time automated scalable data pipelines
- Collaborate on data infrastructure issue triage and resolution
- Collaborate on data requirements and data access
- Deploy and support real time automated scalable data streams
- Implement data auditing for data quality
- Maintain data pipeline processes and troubleshoot failures
- Optimize query performance using SQL
- Own data quality for assigned data domains
- Profile applications and queries
- Resolve large scale data processing workflow issues
- Translate business operations and analytics requirements into data
Perks/Benefits
Skills/Tech-stack
AWS Glue | AWS Lambda | Amazon SES | Amazon SNS | Amazon SQS | Apache Airflow | Apache Spark | BigQuery | Cassandra | Data Governance | Data Quality | Data Warehousing | DynamoDB | Elasticsearch | Hadoop | Kafka | Python | Redshift | S3 | SQL | Snowflake | Spark Streaming | Stored Procedures | Time Series | Time-series databases | Triggers | Window Functions
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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