Senior Data Engineer

. Designing and delivering scalable, cloud-native solutions that power our advertising technology stack.

Posted 5/8/2026full-timeHyderabad • 🇮🇳 IndiaSeniorWebsite

Tools & technologies

CloudDistributed SystemsETLJavaJavaScriptKafkaNoSQLPythonScalaSparkSQL

Key responsibilities & impact

Designing and delivering scalable, cloud-native solutions that power our advertising technology stack.
Implementing ETL pipelines and real-time data processing for ad performance, forecasting, and yield optimization.
Working with big data frameworks (Spark, Kafka) to handle large-scale data sets.
Building and maintaining services for ad-serving, campaign management, and identity systems.
Developing APIs and integrations with third-party AdTech partners and data providers.
Contributing to migration of legacy systems to modular, cloud-native architectures.
Partnering with product and operations teams to align technical solutions with business goals.
Sharing best practices and mentoring junior engineers when needed.

What you’ll need

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
5+ years in software engineering, with exposure to AdTech or large-scale distributed systems.
Hands-on expertise with Java, Scala, or Python, JavaScript, SQL and NoSQL databases, big data tools (Spark, Kafka) and streaming architectures.
Familiarity with advertising workflows including forecasting, yield optimization, identity, and campaign execution.
Demonstrated ability to partner with data scientists, product, and platform engineering, while mentoring junior engineers.

Comp & perks

ATS Keywords

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Hard Skills & Tools

JavaScalaPythonJavaScriptSQLNoSQLETLbig dataSparkKafka

Soft Skills

mentoringcollaborationcommunicationproblem-solvingalignment with business goals

Certifications

Bachelor’s degreeMaster’s degree