Data Engineer
Dialpad
This job is no longer accepting applications
See open jobs at Dialpad.See open jobs similar to "Data Engineer" Scale Venture Partners.About Dialpad
Work Beautifully
Dialpad is the leading Ai-Powered Customer Intelligence Platform that is transforming how the world works together. Based on 4 billion minutes of analyzed voice and meetings data and growing, we have designed one, beautiful workspace that seamlessly combines the most advanced Ai Contact Center, Ai Sales, Ai Voice, and Ai Meetings with Ai Messaging. More than 30,000 innovative brands and millions of people use Dialpad to unlock productivity, collaboration, and customer satisfaction with real-time Ai insights. With initial funding and leadership from Google and leading venture capitalists such as ICONIQ and Andreessen Horowitz, Dialpad has over $200M in ARR and is one of the fastest growing Ai companies in the world.
About the team
Dialpad’s Data Team brings together business expertise and advanced analytics skills to enable business teams to identify improvement opportunities that translate into new opportunities and results.
The Data Engineer team will architect and craft the data platform to empower and implement data applications, including data ingestion framework, Data Observability, Data Quality, Anomaly detection, Data Lake/Data warehouse, business intelligence, APIs and reporting systems. The team will improve data platform performance and reliability, and opportunities to collaborate with industry standard innovative technology partners and authorities to improve efficiency through automation.
This hands-on role focuses on implementing data platform vision, planning and carrying out the roadmap to enable platform capabilities.
What you’ll do
- Implement Data Ingestion, transformation and data quality frameworks in Realtime and Batch
- Design and develop cloud data platforms - Tools and Capabilities to support teams to enable self-service capabilities.
- Write in Python, Java or other languages to deliver a wide variety of data services
- Building tools to accelerate data ingestion and transformation with lineage, data security, data privacy protection.
- Improve data quality by using & improving internal tools/frameworks to automatically detect Data quality issues.
- Collaborate with Product Owners to apply Dialpad’s agile processes and be responsible for the initiation, delivery, and communication of projects for the partner organizations
- Willing to work across multiple time zones.
- Understand and gain solid understanding of the team's technology stack and instance strategy to align with the software development lifecycle.
- Contribution to the documentation, release notes, documentation reviews to guide others and improve their performance.
- Building high quality monitoring, sets and communicating reliability requirements and coaching junior members of the team including extended teams.
- Keeping security for both data in transit and data at rest, and compliance (PII, PCI, CCPA, SOX, GDPR etc.) in mind.
This position reports to our Sr. Manager Data Engineering, with day-to-day direction and guidance on projects given by the local team lead, and will be based in our Bangalore, India Office. The requirements for this role is to be in office at least 2-3 days a week.
**This is a contract position for one year with high potential to be hired full time after one year**
Skills you’ll bring
- 5+ years of technology industry experience
- Proven track record writing data algorithms and pipelines.
- Proficient experience writing python, java or Scala.
- Experience on any of these cloud platforms (GCP, AWS, Azure)
- Experience with BigQuery, Spark or Databricks, or Redshift
- Experience working with data visualization tools like Domo, PowerBI, Tableau, or Looker
- Experience with Git.
- Experience in big data platform implementations.
- Dimensional modeling knowledge.
Other qualifications:
- Experience in query optimization.
- Familiarity with orchestration tools (Dagster and Airflow preferred).
- Familiarity with modern data stack (Fivetran, DBT, Bigquery or equivalents).
- Familiarity with Data pipelines or CI/CD implementations (Preferred).
- Quantitative graduate degree (is a plus).
- Master Degree or higher in Computer Science/Engineering or directly related experience.
Culture
We’ve been named a Top Workplace seven times, and a big part of this is because of our collaborative culture that elevates our teammates, celebrates wins, and brings together passion and talent.
Compensation and equity
Teamwork makes the dream work, and Dialpad offers competitive salaries in addition to stock options because each and every Dialer participates in our success.
Diversity, Equity, and Inclusion (DEI) at Dialpad
At Dialpad, we are passionate about Doing the Right Thing. This means we are committed to building a values-driven culture that celebrates identity, inclusion and belonging. As a global company, it’s our responsibility to come together to create a culture where all Dialers can Work Beautifully, Delight Our Users, and Innovate Continuously to bring our world-class product to life.
Every Voice Matters at Dialpad. We build community through our Employee Resource Groups, company-wide celebrations, service days, and a robust internal learning & development program focused on the success of our Dialers.
Don’t meet every single requirement? Studies have shown that women and marginalized groups are less likely to apply to jobs unless they meet every single qualification. At Dialpad we are dedicated to building an inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.
This job is no longer accepting applications
See open jobs at Dialpad.See open jobs similar to "Data Engineer" Scale Venture Partners.
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