Medior / Senior Data Engineer
Budapest, Hungary
Applications have closed
Hearsay Systems, Inc.
Hearsay empowers distributed financial services teams to authentically and intelligently engage with customers through compliant social media, texting and local websites.Hearsay Systems is looking for a talented Medior / Senior Data Engineer to join our growing Budapest Engineering Team!
As a Data Engineer, you will be working with data analysts, data engineers, and product managers to build, maintain and enhance an infrastructure that serves data for analytics, reporting, and data science in a reliable and efficient way. We’re a group of engineers passionate about technology, learning, and building lasting, scalable, and reliable solutions. If you share the same values, don’t hesitate to apply!
About Hearsay SystemsFounded in 2009, Hearsay Systems is the trusted global leader in digital client engagement for financial services. Our Client Engagement Platform empowers over 200,000 advisors and agents to proactively guide and capture the last mile of digital communications in a compliant manner. The world’s leading financial firms—including New York Life, Morgan Stanley, Charles Schwab, and Ameriprise—rely on Hearsay’s compliance-driven platform to scale their reach, optimize sales engagements, grow their business and deliver exceptional client service.
We are a tight-knit and dedicated team that passionately believes in our products, our people, and our culture. Our products help advisors and agents compliantly scale personalized customer engagements across social media (Facebook, LinkedIn, Twitter, Instagram), websites, text, and voice.
Hearsay is headquartered in San Francisco, with globally distributed teams throughout North America, Europe and Asia. Hearsay is backed by Sequoia Capital, NewView Capital, and Salesforce Ventures.
About the role:
- Work in a team of data and software engineers in Budapest who are responsible for Hearsay’s data infrastructure from ETL pipelines to end-user analytics experience.
- Building and maintaining a robust infrastructure that ensures data is available for business intelligence and analytics needs.
- Your main focus is data quality, performance, scalability, and sustainability of the team’s solutions.
- Work closely with the data analyst team in Budapest - who are our primary stakeholders.
- You also work with products teams at Hearsay - who are the primary producer of our data.
About you:
- In-depth knowledge of at least one reasonably modern general-purpose language, ideally Python, but Ruby, Kotlin, modern Java, C# and Go are all also acceptable
- Significant experience in designing and building ETL/ELT pipelines and resilient distributed systems
- Strong SQL skills and experience working with complex data structures
- Experience with a cloud platform like AWS, Azure or GCP
- Used data workflow orchestrating tools, preferably Apache Airflow
- Experience in database administration, preferably MySQL and/or PostgreSQL
- Understanding of data lake and data warehouse architectures and dimensional modeling
- Excellent written and verbal English communication
- Demonstrated track record of learning new concepts and tools
What we can offer you:
- Hybrid working model
- Extra paid time off
- Stock options
- Private health insurance
- In-office food & beverages - including lunch
- Training budget
- Mobile subscription coverage
- Home office budget
Our commitment to diversity and inclusion: At Hearsay we believe that diverse teams are the best teams. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, nationality, gender, sexual orientation, age, marital status, veteran status, or disability status.
I hereby acknowledge that my personal data included in my application will be processed for the purpose of the recruitment process under the General Data Protection Regulation as of 25 May 2018, as amended from time to time.
#LI-KS1 #LI-Hybrid
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture AWS Azure Business Intelligence Data quality Data warehouse Distributed Systems ELT Engineering ETL GCP MySQL Pipelines PostgreSQL Python Ruby SQL
Perks/benefits: Career development Equity Health care Insurance
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