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Adsremedy Media LLP
Adsremedy Media LLP cover picture
Adsremedy Media LLP logo

Adsremedy Media LLP

https://adsremedy.com
Founded :
2016
Type :
Products & Services
Size :
0-20
Stage :
Bootstrapped

About

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Jobs at Adsremedy Media LLP

Adsremedy Media LLP
at Adsremedy Media LLP
Soumya Kshirsagar
Posted by Soumya Kshirsagar
Remote, Mumbai
1 - 3 yrs
₹3L - ₹10L / yr
ETL

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


Read more
Adsremedy Media LLP
at Adsremedy Media LLP
Soumya Kshirsagar
Posted by Soumya Kshirsagar
Remote only
1 - 6 yrs
₹3L - ₹15L / yr
skill iconGo 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

Read more
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