Data Platform Engineer
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
- EDUCATION & EXPERIENCE:
- Bachelors degree in Computer Science or related technical field 4 years of professional experience in data modeling pipeline development and software
- engineering
- TECHNICAL SKILLS:
- Programming Languages: excellent programming skills in Python with strong computer science foundations (data
- structures low-level parallelization
- Database Management: Strong SQL skills and hands-on experience with relational databases and query engines
- (PostgreSQL Impala Trino)
- Data Processing & Analytics:
- Experience with data analysis tools and libraries (Pandas/Polars NumPy dbt)
- Experience with big data technologies (Kafka Spark Databricks S3)
- Workflow Management & Orchestration: Experience with Apache Airflow Dagster or similar data orchestration frameworks for workflow
- orchestration scheduling and monitoring
- Experience with containerization and orchestration (Docker Kubernetes
- /isualization & Reporting:
- Strong proficiency with creating and maintaining Tableau/Grafana dashboards and workflows
- Masters or PhD in Computer Science or related field
- Deep expertise in data principles data architecture and data modeling Strong problem-solving skills and meticulous attention to detail with the ability to tackle loosely
- defined problem
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
Ask Siri to name the most successful company in the world and it might respond: Apple. And it's not just out of familial pride. Apple consistently ranks highly in profit, revenue, market capitalization, and consumer cachet. In 2018, the company became the first reach a trillion dollar ... View more
