Sr Product Software Engineer II

Overview

Join the Data Platform Engineering team as a Senior Product Software Engineer to design, develop, and maintain scalable, robust, and high-performance data pipelines and infrastructure supporting analytics, reporting, and machine learning workloads.

What you'll do

• Design and build scalable batch and streaming data pipelines using Spark, Scala, Python, and Airflow.
• Apply modularity, reusability, scalability, and testability in code deliverables.
• Follow clean code practices and emphasize maintainability and performance.
• Optimize ETL/ELT processes in Databricks and Snowflake.
• Write efficient SQL queries to transform, validate, and surface large-scale datasets.
• Collaborate with Data Scientists, Analysts, and Engineers to deliver production-grade pipelines.
• Develop robust unit tests, perform code reviews, and follow engineering best practices.
• Troubleshoot data issues, job failures, and performance bottlenecks.
• Contribute to documentation and reusable code libraries.
• Partner with BI teams to deliver well-modeled datasets optimized for dashboarding and analyst use.

What you'll need

• Minimum of 4-6 years of relevant data science, Business Intelligence, or data analytics experience, preferably with a digital media or digital advertising company.
• Experience delivering products in an agile software development environment, including sprint work in Jira.
• Excellent interpersonal skills with the ability to collaborate and partner across multiple teams and organizations.
• Strong SQL experience, including writing and optimizing complex queries against distributed data stores such as Aurora, Hadoop, Hive, Oracle, and Snowflake.
• Experience with data pipeline and workflow management tools: Apache NiFi or Apache Airflow.
• Expert level knowledge in at least one programming language such as Python, R, Scala, or Java.
• Demonstrated experience working with business intelligence tools such as MicroStrategy, Tableau, Business Objects, or Looker.
• Languages: Scala, Python, SQL.
• Data Processing: Apache Spark, Flink, Airflow.
• Platforms & Tools: Databricks, Hive, Presto, Snowflake.
• Cloud: AWS, including S3, EMR, Glue, and Lambda.
• Demonstrated ability to effectively communicate complex concepts to technical and unacquainted audiences.
• Experience working with large datasets, Terabytes or more.
• Strong presentation and documentation skills, including experience working with Confluence, Power Point, and Lucid Chart.
• Strong analytical and critical thinking skills.
• Bachelor’s degree in computer science, Data Analytics or Science, Applied Mathematics, Statistics, related technical fields, or equivalent experience.

Nice to have

• Experience in Ad Tech, particularly Linear or Addressable Advertising.
• Experience supporting Business Intelligence data platforms, dashboards, and reporting environments.
• Experience with digital advertising systems and ecosystems.
• Experience using data analytics to triage and troubleshoot advertising workflows.
• Experience with network topologies, systems architecture overviews, and entity relationship diagrams (ERD).

Details

• Location: Bangalore, India.
• Employment type: Full time.