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Senior Data Engineer
hace 2 semanas
ID: 14808
**What you will do**
- Responsibilities Designing and implementing efficient data pipelines (ETLs) in order to integrate data from a variety of sources into Indeed’s Data Warehouse;
- Designing and implementing data model changes that align with warehouse standards;
- Providing documentation, training, and consulting for data warehouse users.
**Must haves**
- 5+ years in a Data Engineering or Data Warehousing role;
- 5+ years creating data pipelines using cloud-based ETL tools, like AWS Glue (AWS preferred);
- 3+ years of hands-on experience with big data technologies (Snowflake, Redshift, Hive, Kafka, spark or similar technologies);
- Extensive experience working on relational NoSQL and SQL databases;
- Expertise in workflow management and pipeline tools such as Airflow;
- 5+ years coding experience (Java or Python preferred);
- Master’s Degree (or a B.S. degree with relevant industry experience) in math, statistics, computer science, or equivalent technical field;
- Upper-intermediate English level
**The benefits of joining us**
- **Professional growth**
Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps
- **Competitive compensation**
We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities
- **A selection of exciting projects**
Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands
- **Flextime**
Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office - whatever makes you the happiest and most productive.
Tipo de puesto: Tiempo completo
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