Data Engineer
Tasks
- Build and productionize data pipelines
- Collaborate with stakeholders and engineering teams
- Create client facing presentations and walkthroughs
- Deliver projects on time and within scope
- Deploy secure scalable high performing data solutions
- Design cloud data platforms and pipelines
- Develop technical documentation
- Drive reusable patterns and frameworks
- Lead architecture and design workshops
- Maintain production ready operational practices
- Perform code reviews and ensure testing and documentation
- Translate business requirements into data engineering solutions
Perks/Benefits
- Bonuses for approved content creation
- Broadband reimbursement
- Continuous learning opportunities
- Medical insurance
- Paid certifications
- Professional development allowance
- Remote-first workplace
- Term life and personal accident insurance
- Wellness allowance
Skills/Tech-stack
ADLS | AWS | Airflow | Azure | Cassandra | DBT | Databricks | Elasticsearch | Fivetran | GCP | GCS | HDFS | Hadoop | Informatica | Kafka | Linux | Nifi | Python | S3 | SQL | Scala | Snowflake | Solr | Spark
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
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