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Tech Lead - Data Engineering

sambatv · 30+ days ago
Negotiable
Full-time
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Samba TV tracks streaming and broadcast video across the world with our proprietary data and technology. We are on a mission to fundamentally transform the viewing experience for everyone. Our data enables media companies to connect with audiences for new shows and movies, and enables advertisers to engage viewers and measure reach across all their devices. We have an amazing story with a unique perspective on culture formed by a global footprint of data and AI-driven insights.

Samba TV is uniquely positioned at the forefront of the TV revolution. The way people discover, watch, and engage with television has fundamentally changed, and we're connecting the dots to help better understand audience trends and viewership habits for marketers. Samba TV is seeking to hire a data engineer to join our company.

 As a Tech Lead - Data Engineering, you will be responsible for leading the development of scalable, high-performance data pipelines that power Samba TV's analytics and insights.
You will play a critical role in designing and implementing architectural improvements, ensuring best practices, and mentoring a team of engineers. You will collaborate closely with Data Science, Analytics, and Product teams to deliver robust, production-ready data solutions that drive business impact.

Responsibilities

  • Lead the design, development, and optimization of large-scale data pipelines and infrastructure.
  • Architect scalable and efficient solutions for data ingestion, transformation, and storage, ensuring performance, reliability, and security.
  • Mentor and guide engineers, fostering a culture of technical excellence and continuous improvement.
  • Collaborate cross-functionally with Data Science, Analytics, and Product teams to translate business needs into data-driven solutions.
  • Enhance monitoring and observability of data processes, improving debugging, error detection, and system reliability.
  • Drive best practices for code quality, testing, and software design in data engineering.

Requirements

  • 5+ years of experience in Data Engineering, Software Engineering, or a related field.
  • Must-have expertise in Apache Airflow, Databricks, and PySpark for orchestration, scalable data processing, and transformation.
  • Expertise in Python or strong proficiency in another modern programming language with a willingness to master Python.
  • Deep understanding of distributed data processing frameworks (e.g., Apache Spark or similar).
  • Strong knowledge of data modelling, database design, and query optimization for both relational and non-relational databases.
  • Experience with cloud-based data infrastructure (AWS, GCP, or Azure) and modern data lake architectures.
  • Familiarity with CI/CD pipelines and automation tools for data engineering.
  • Proven track record of mentoring engineers and leading technical projects.
  • Excellent problem-solving and communication skills, with the ability to work effectively in a distributed team environment.

Our Technology

  • Python as our primary language.
  • Amazon Web Services (AWS) for compute and storage.
  • Apache Spark on Databricks as our primary processing engine.
  • Airflow for workflow scheduling.
  • Terraform for configuration management.
  • Databases: PostgreSQL, DuckDB, Elasticsearch, InfluxDB.
Req #1176

Samba TV is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.  We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.

Samba TV may collect personal information directly from you, as a job applicant, Samba TV may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law. For further details, please see Samba's Applicant Privacy Policy. For residents of the EU , Samba Inc. is the data controller.

Last updated on Sep 29, 2024

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