Job Description:

Join a company where culture isn't just a label—it's our DNA. We're dreamers, innovators, and learners, driven by simplicity, collaboration, and trust. Here, every voice matters, and together, we shape a company we're proud of. Ready to be part of something truly unique? Join us and let's grow better together.As an employee, you’ll empower B2B sales professionals globally to unlock lucrative revenue opportunities and drive sustainable growth. With over 1 million users and a database of 200+ million entries, your contributions will directly impact our customers, revolutionizing the way they approach sales and positioning them for long-term success in a competitive marketplace. With 40,000 new signups benefiting from our dynamic platform each month, your role is crucial in continuing to enhance and expand our offerings. You’ll help deliver exceptional value to our growing user community, ensuring they have the best tools at their disposal to succeed in a competitive marketplace.We're looking for an experienced Data Engineer Team Lead to join our growing data group. In this role, you’ll not only design and implement high-scale, data-intensive platforms but also lead a team of talented engineers, driving the evolution of our data infrastructure. You will research and implement cutting-edge algorithmic solutions and collaborate with cross-functional teams on significant, high-impact projects that support our mission of providing accurate and actionable business intelligence.

Responsibilities:

• Lead a team of talented engineers and drive the evolution of the data infrastructure.
• Design and implement robust, scalable data pipelines and integration solutions within our Databricks-based environment.
• Collaborate with cross-functional teams on high-impact projects that support the company's mission of providing accurate business intelligence.
• Ensure data solutions align with business goals and drive product features that bring value to users and streamline B2B sales processes.

Requirements:

• 3+ years of experience in leading people.
• 3+ years of experience in data engineering.
• 5+ years of experience as a software developer (Python preferable).
• Proficient in Advanced SQL (analytical functions) and query performance tuning skills.
• Experience working within the AWS ecosystem (AWS S3, Glue, EMR, Redshift, Athena) or comparable cloud environments (Azure/GCP).
• Experience with big data platforms such as Spark, Databricks, and Kafka as a streaming bus.
• Experience utilizing enterprise data warehousing systems such as Redshift or Snowflake.
• Strong understanding of multiple database types and query languages.

The position is open to women and men alike.

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