We are looking for Senior Data Engineers to join our AdTech team and build scalable, high-performance data platforms that power advertising insights and analytics. The ideal candidate will have strong experience in distributed data processing, ETL pipelines, and Big Data technologies, with hands-on expertise in Spark and Scala.You will work on designing, developing, and optimizing large-scale data pipelines while collaborating closely with cross-functional engineering teams to build reliable, production-grade data solutions.Key ResponsibilitiesDesign, develop, and maintain scalable ETL pipelines for large-scale data processing.Build and optimize distributed data applications using Spark and Scala.Develop reliable, high-performance data pipelines for batch and streaming workloads.Work with large datasets to ensure data quality, consistency, and performance.Collaborate with engineering, product, and analytics teams to deliver robust data solutions.Optimize data workflows for scalability, reliability, and cost efficiency.Deploy and manage data workloads in cloud and containerized environments.Troubleshoot production issues and continuously improve platform performance.RequirementsCandidates who demonstrate:5+ years of experience in Data Engineering or Big Data Engineering.Strong hands-on experience with Apache Spark and Scala.Experience building and maintaining ETL pipelines.Familiarity with Google Cloud Storage (GCS).Experience with Kubernetes (K8s).Strong SQL skills and understanding of distributed data processing.Excellent debugging, problem-solving, and performance optimization skills.Strong communication and collaboration skills.Good to HaveExperience with AWS and cloud-native data services.Familiarity with streaming technologies such as Kafka.Experience working on large-scale data platforms or AdTech systems.Exposure to orchestration tools such as Airflow.BenefitsBest-in-class salary: We hire strong talent and compensate accordingly.Proximity Talks: Meet and learn from designers, engineers, product leaders, and AI practitioners.Continuous learning: Work with a world-class team and stay close to the latest in AI, engineering, and product development.High-impact work: Build AI-first systems and products used at scale by global clients.About UsProximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world. We’re headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore.Since 2019, Proximity has built high-impact, scalable products used by millions of users every day. Today, we are a global team of engineers, designers, product managers, and experts solving complex problems and building cutting-edge technology at scale.
We are looking for Senior Data Engineers to join our AdTech team and build scalable, high-performance data platforms that power advertising insights and analytics. The ideal candidate will have strong experience in distributed data processing, ETL pipelines, and Big Data technologies, with hands-on expertise in Spark and Scala.
You will work on designing, developing, and optimizing large-scale data pipelines while collaborating closely with cross-functional engineering teams to build reliable, production-grade data solutions.
Key Responsibilities
- Design, develop, and maintain scalable ETL pipelines for large-scale data processing.
- Build and optimize distributed data applications using Spark and Scala.
- Develop reliable, high-performance data pipelines for batch and streaming workloads.
- Work with large datasets to ensure data quality, consistency, and performance.
- Collaborate with engineering, product, and analytics teams to deliver robust data solutions.
- Optimize data workflows for scalability, reliability, and cost efficiency.
- Deploy and manage data workloads in cloud and containerized environments.
- Troubleshoot production issues and continuously improve platform performance.
Requirements
Candidates who demonstrate:
- 5+ years of experience in Data Engineering or Big Data Engineering.
- Strong hands-on experience with Apache Spark and Scala.
- Experience building and maintaining ETL pipelines.
- Familiarity with Google Cloud Storage (GCS).
- Experience with Kubernetes (K8s).
- Strong SQL skills and understanding of distributed data processing.
- Excellent debugging, problem-solving, and performance optimization skills.
- Strong communication and collaboration skills.
Good to Have
- Experience with AWS and cloud-native data services.
- Familiarity with streaming technologies such as Kafka.
- Experience working on large-scale data platforms or AdTech systems.
- Exposure to orchestration tools such as Airflow.
Benefits
- Best-in-class salary: We hire strong talent and compensate accordingly.
- Proximity Talks: Meet and learn from designers, engineers, product leaders, and AI practitioners.
- Continuous learning: Work with a world-class team and stay close to the latest in AI, engineering, and product development.
- High-impact work: Build AI-first systems and products used at scale by global clients.
About Us
Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world. We’re headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore.
Since 2019, Proximity has built high-impact, scalable products used by millions of users every day. Today, we are a global team of engineers, designers, product managers, and experts solving complex problems and building cutting-edge technology at scale.
we are proximity —A global team of coders, designers, product managers, geeks, and experts. We solve complex problems and build cutting-edge tech, at scale.
we are proximity —
A global team of coders, designers, product managers, geeks, and experts. We solve complex problems and build cutting-edge tech, at scale.
