

Adsremedy Media LLP
https://adsremedy.comAbout
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Jobs at Adsremedy Media LLP
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
About the Role:
We are seeking a skilled Data Engineer to join our growing AdTech team. In this role, you will design, build, and maintain high-performance ETL pipelines and large-scale data processing systems. You will work with massive datasets and distributed frameworks to power Adsremedy’s data-driven advertising solutions across Programmatic, In-App, CTV, and DOOH platforms.
What You’ll Do:
- Design, develop, and maintain scalable ETL pipelines on self-managed infrastructure
- Process and optimize large-scale datasets (terabytes of data) with high reliability and performance
- Build robust data processing workflows using Apache Spark (preferred) and/or Apache Flink
- Integrate, clean, and transform data from multiple internal and external sources
- Partner closely with data scientists, analysts, and business stakeholders to enable actionable insights
- Monitor, troubleshoot, and optimize data pipelines for operational excellence
- Ensure data quality, consistency, and performance across all data workflows
- Participate in code reviews and uphold best practices in data engineering
- Collaborate with QA teams to deliver production-ready, reliable systems
- Mentor junior engineers and promote knowledge sharing within the team
- Stay current with emerging data engineering tools, frameworks, and industry trends
What You’ll Need:
- 2+ years of experience building ETL pipelines using Apache Spark and/or Apache Flink
- Hands-on experience with big data caching solutions such as ScyllaDB, Aerospike, or similar
- Strong understanding of data lake architectures and tools like Delta Lake
- Proven experience handling terabytes of data in distributed environments
- Proficiency in Scala, Python, or Java
- Experience working with cloud data platforms (AWS S3, Azure Data Lake, Google BigQuery)
- Strong knowledge of SQL, data modeling, and data warehousing concepts
- Familiarity with Git and CI/CD workflows
- Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment
Nice to Have
- Experience with Apache Kafka for real-time data streaming
- Familiarity with Apache Airflow or similar orchestration tools
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
What You’ll Do:
● Lead and mentor a team of backend engineers, providing technical direction, guidance, and
performance feedback
● Architect, design, and develop scalable backend services and APIs using Golang
● Own SQL database design, optimization, indexing, and performance tuning to ensure data integrity
and efficiency
● Work closely with Product, QA, DevOps, and Analytics teams to translate business requirements
into robust technical solutions
● Drive best practices in system design, code quality, security, and reliability
● Troubleshoot and resolve complex issues across development, staging, and production
environments
● Oversee CI/CD pipelines and ensure smooth, reliable deployments
● Conduct and participate in code reviews to maintain high engineering standards
● Collaborate with QA teams to ensure thorough testing and high-quality releases
● Stay updated with emerging technologies and industry trends, recommending and implementing
improvements where applicable
● Foster a collaborative, innovative, and growth-oriented engineering culture
What You’ll Need
● 6+ years of professional software engineering experience, including 3+ years of hands-on Golang
development
● Proven experience leading or managing engineering teams
● Strong expertise in SQL databases (schema design, query optimization, indexing, performance
tuning)
● Hands-on experience with Columnar OLAP databases (Druid, ClickHouse, or similar)
● Hands-on experience with OLTP databases (ScyllaDB, Redis, or similar)
● Solid understanding of microservices architecture, RESTful APIs, and distributed systems
● Experience with Docker, Kubernetes, and cloud platforms (AWS / GCP / Azure)
● Strong proficiency with Git and collaborative development workflows
● Deep understanding of concurrency, performance optimization, and memory management in
Golang
Nice to Have:
● Experience with NoSQL databases and data modeling
● Exposure to messaging systems such as Kafka, RabbitMQ, or similar
● Familiarity with monitoring and observability tools (Prometheus, Grafana, ELK stack)
● Experience working in Agile / Scrum environments
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About the company
We’ve achieved 300% growth in the cybersecurity field. We’ve partnered with the most impactful organisations - whether it is the largest cybersecurity company or the fastest growing unicorn. We're building an amazing place to work and we invite you to join us.
Engineering Centric Culture
At Metron, we strive to maintain and cultivate a developer-centric culture. Here’s what this means in action:
Meaningful and ever-evolving work
We’ve built integrations and custom solutions for 200+ security platforms and keep adding more to the list. You will be constantly learning about new platforms, acquiring new skills, and being exposed to cutting-edge security technology and other tools.
Work directly with clients and end-users
We encourage our developers to have a client-facing approach. At Metron, you will be able to demonstrate and discuss your code with the people who will be using it on a regular basis.
A balanced workspace
Everyone has a personal life outside of the office. We do not expect you to work weekends or overtime (and actively encourage you not to do so). We also aim to provide you with all the required perks and benefits to keep you in good health and spirits.
A level hierarchy
There are only 2 roles in the organisation - Development and QA. Every employee will either be writing code or testing for quality. We don’t believe in helicopter managers who hover above you and do not understand your work.
Hybrid work mode
Like to work at the office? We can accommodate you. Prefer to work from home? No problem! Need a combination of both? Whatever model works for you, works for us.
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