Senior Data Engineer, Public Company

hace 2 semanas

Buenos Aires, Argentina Recruiting From Scratch A tiempo completo

**This is for a client of Recruiting from Scratch.**

**Who is Recruiting from Scratch**:
Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire. We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more.

**Our Client**:
Our next evolution is underway as a newly public company looking to expand and continue to build meaningful experiences for our users. From social issues to original content, we’re blazing innovative paths with impact for our community, all while leveraging the latest tech stacks and striving for engineering excellence. At the heart of our work in this new chapter is a shared set of core values: openness and exploration, a bias for action, and strong support of the LGBTQ community.

With a track record of strong financial performance and plans for continued headcount growth, we’re looking to build a team of talented, passionate, and open-minded people who believe in our mission, align with our values, and are excited to work at the intersection of innovative technology and social impact. Come be a part of this exciting journey with us.

**What’s so interesting about this role?**

Our client is looking to bring on a Senior Data Engineer with chops in cutting edge real-time streaming technologies and ambitions to achieve high quality and reliability with TDD, automation, and continuous delivery..

In this role, you will have the opportunity to work with our product teams, building models and APIs to drive new features, delivers analysis to further improve engagement in existing features, and empowers our business with real-time insights to drive growth in market share, engagement, and revenue. We see 1 trillion events per year and process 10TB of data daily.

**What’s the job?**
- Design, develop and deliver data products to production, complying with internal data governance, security and scalability of our system.
- Moving implementation to ownership of real-time and batch processing and data governance and policies.
- Maintain and enforce the business contracts on how data should be represented and stored.
- Stay on top of new technologies through R&D and prototyping to continuously improve our big data architectures and systems to streamline how we deliver value with high quality to our end users
- Implementing ETL processes, moving data between systems including S3, Snowflake, Kafka, and Spark.
- Work closely with our Data Scientists, SREs, and Product Managers to ensure software is high quality and meets user requirements.

**What we’ll love about you**
- 5+ years of experience working with data at scale, including data engineering, business intelligence, data science, or related field.
- 7+ years experience using Python,
- Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark, )
- Significant experience with relational databases and query authoring (SQL) in Snowflake or other distributed Databases.
- Experience with agile engineering practices such as TDD, Pair Programming, Continuous Integration, automated testing, and deployment.
- Experience with building stream-processing systems, using solutions such as Kafka, Storm or Spark-Streaming
- Experience with dimensional data modeling and schema design in Data Warehouses
- Familiar with ETL (managing high-quality reliable ETL pipelines)
- Be familiar with legal compliance (with data management tools) data classification, and retention.

**Location**:We have offices in Palo Alto, San Francisco or Chicago. We work a hybrid model of Tuesdays and Thursdays in office.

**Salary Range: $165,000-$210,000 USD base. **Equity. Medical, Dental, Vision.

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