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Tier-1 brand, Bangalore metro, mid-level generalist role and broad toolset increase competition.
Data engineering skills are transferable, but privacy and governance focus limits cross-industry fit slightly.
Explicit 5+ years requirement and many mandatory data engineering tools raise filtering strictness.
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Develop and maintain scalable privacy and data subject rights automation solutions within a large-scale data processing ecosystem.
Build and enhance real-time and batch data pipelines supporting analytics, data science, and operations with a focus on privacy challenges.
Implement robust observability, alerting, logging, and system control to ensure uptime SLAs and support data governance requirements.
5+ years of data engineering/software engineering experience in the data space.
Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field, or equivalent experience.
Strong programming skills in Scala and Python, with hands-on experience in Apache Spark and workflow orchestration systems like Airflow.
Experience with AWS or other cloud providers (notably S3), SQL, and scripting languages (Bash, PowerShell).
Experienced in building and operating large-scale data processing platforms and privacy-focused data automation solutions.
Proficient in cloud-native architectures with knowledge of AWS services, Databricks, and MPP/cloud databases such as Snowflake or Redshift.
Effective collaborator working cross-functionally with product managers, architects, legal, security, and engineering teams in an agile environment.