Senior Data Engineer
At a glance
Senior Data Engineering role at Proximity Works. Bengaluru · full-time.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain ETL pipelines for large datasets, covering both batch and streaming workloads
- Develop distributed data applications with Spark and Python or Scala, then tune them for performance
- Set up data workflows in Airflow and run AWS workloads, using S3 for large-scale storage
- Check data quality and reliability, troubleshoot production problems, and improve pipeline cost and performance
- Work with engineering, product, analytics, and platform teams to deliver dependable data solutions
What you bring
- At least five years in data engineering, big data engineering, or a comparable role
- Hands-on Spark and Scala experience, plus a track record building and maintaining large ETL pipelines
- Practical AWS experience, especially with S3, and hands-on Airflow workflow orchestration
- Strong SQL skills and working knowledge of distributed processing, with experience in batch or streaming pipelines
Who this fits
This role suits a senior data engineer who has built large-scale pipelines and can debug and optimize production workloads. It is based onsite in Bengaluru.
From the employer
We are looking for Senior Data Engineers to join our Data Platform team and build scalable, high-performance data platforms that power data processing, analytics, and downstream applications.
The ideal candidate will have strong experience in distributed data processing, ETL pipelines, and Big Data technologies, with hands-on expertise in Apache Spark and Python Scala.
You will be responsible for 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 and data processing pipelines for large-scale datasets.
- Build and optimize distributed data applications using Apache Spark and Python Scala.
- Develop reliable, high-performance data pipelines for batch and streaming workloads.
- Design and manage data workflows using Apache Airflow.
- Build and operate data workloads on AWS, with strong usage of Amazon S3 for large-scale data storage.
- Work with large datasets to ensure data quality, consistency, reliability, and performance.
- Collaborate with engineering, product, analytics, and other platform teams to deliver robust data solutions.
- Optimize data workflows for scalability, reliability, performance, and cost efficiency.
- Troubleshoot production issues, identify bottlenecks, and continuously improve platform performance.
Requirements
Candidates who demonstrate:
- 5+ years of experience in Data Engineering, Big Data Engineering, or a similar role.
- Strong hands-on experience with Apache Spark and Scala.
- Experience designing, building, and maintaining large-scale ETL pipelines.
- Strong hands-on experience with AWS, particularly Amazon S3.
- Hands-on experience with Apache Airflow for workflow orchestration and scheduling.
- Strong SQL skills and a solid understanding of distributed data processing concepts.
- Experience working with batch and/or streaming data pipelines.
- Excellent debugging, problem-solving, and performance optimization skills.
- Strong communication and collaboration skills.
Good to Have
Experience with Databricks and the broader Databricks data platform.
Familiarity with streaming technologies such as Apache Kafka.
Experience working on large-scale data platforms handling high-volume data workloads.
Exposure to additional AWS data services and cloud-native data architectures.
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.
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