Big Data Engineer
ZoomSalary not specified
Full Time
Junior (1 to 2 years), Mid-level (3 to 4 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Data & Analytics, BiotechnologyIndustries
Requirements
Candidates should possess 5+ years of experience in Data Engineering, Software Engineering, or a related field, along with expertise in Apache Airflow, Databricks, and PySpark for orchestration, scalable data processing, and transformation. They must have a deep understanding of distributed data processing frameworks like Apache Spark, strong knowledge of data modeling, database design, and query optimization for both relational and non-relational databases, and 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 is also required, alongside excellent problem-solving and communication skills, and the ability to work effectively in a distributed team environment.
Responsibilities
As a Data Engineer, you will be responsible for designing, developing, and optimizing large-scale data pipelines and infrastructure, architecting scalable and efficient solutions for data ingestion, transformation, and storage, collaborating cross-functionally with Data Science, Analytics, and Product teams to translate business needs into data-driven solutions, enhancing monitoring and observability of data processes, improving debugging, error detection, and system reliability, and driving best practices for code quality, testing, and software design in data engineering.
Skills
Apache Airflow
Databricks
PySpark
Python
Apache Spark
Data Modeling
Database Design
Query Optimization
AWS
GCP
Azure
Data Lake Architecture
CI/CD
Samba TV
Audience measurement and analytics for smart TVs
About Samba TV
Samba TV provides audience measurement and insights for the television industry, focusing on the smart TV market. Their technology is integrated into 35 million TVs globally, allowing them to collect and analyze extensive viewership data. This data helps advertisers, broadcasters, and content creators understand viewer behavior and improve their advertising and content strategies. Samba TV's audience measurement system is significantly larger than traditional methods, offering more accurate data. The company operates on a business model where clients pay for access to their data and analytics, ensuring privacy compliance and giving viewers control over their data sharing. The goal of Samba TV is to enhance the television viewing experience through detailed insights and measurement services.
San Francisco, CaliforniaHeadquarters
2008Year Founded
$44.4MTotal Funding
EARLY_VCCompany Stage
Data & Analytics, Consumer SoftwareIndustries
201-500Employees
Benefits
Flexible Work Hours
Remote Work Options
Professional Development Budget
Mental Health Support
Company Equity
Employee Discounts
Risks
Increasing competition from Roku and Amazon challenges Samba TV's market share.
Privacy-focused regulations may increase compliance costs for Samba TV.
Shift towards ad-free streaming services could reduce demand for advertising insights.
Differentiation
Samba TV partners with 20 smart TV brands, embedding technology in 35 million TVs.
Proprietary multi-source panel is 100 times larger than traditional measurement systems.
Offers comprehensive audience measurement and actionable insights for advertisers and content creators.
Upsides
Growing demand for cross-platform measurement solutions boosts Samba TV's market potential.
Acquisition of Semasio enhances capabilities in privacy-compliant contextual targeting.
Partnerships with digital audio platforms expand audience insights across media channels.
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