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Mid-level data engineering role in Bangalore, broad skillset and known brand increases competition.
Core data engineering skills are transferable, but adtech platform scale and leadership need domain experience.
Explicit years, leadership requirement, and numerous mandatory technical skills create high shortlisting strictness.
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Architect and implement scalable data solutions including ETL pipelines, data warehousing, and data delivery for high-scale operations processing petabytes daily.
Lead the data platform strategy aligning architecture and management of data systems to organizational objectives, ensuring performance and scalability.
Provide technical leadership and mentorship to data engineering teams, conduct code and architecture reviews, and collaborate cross-functionally to integrate data solutions.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Over 5 years of software development experience with at least 2 years in a technical leadership role in data engineering or platform teams.
Strong proficiency in big data technologies such as Apache Spark/PySpark, Apache Airflow, Apache Kafka; and programming with Scala and Python.
Experience with CI/CD pipelines (Jenkins, GitHub Actions) and Infrastructure as Code tools (Pulumi, Terraform).
Experienced in architecting and scaling large data platforms handling multi-petabyte daily processing.
Technical leader skilled at cross-functional collaboration with product managers, data scientists, and engineers to deliver integrated data solutions.
Proficient with data governance, performance optimization, and modern big data tooling in cloud environments, preferably with experience in Databricks and AWS.