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.
Go Programming (Golang)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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