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Tier-1 brand plus Bangalore metro presence increase applicant density, tempered by senior specialized role.
Strong big-data and ad-tech experience required, making cross-industry transfers moderately constrained.
Explicit 10+ years, mandatory data engineering experience and detailed tech stack enforce stringent filters.
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Lead design, development, and maintenance of resilient data pipelines and services in Scala, Python/Spark, and Java to meet strict uptime SLAs.
Provide architectural direction and guidance on complex data applications, integrations, and pipeline best practices, driving improvements in automation and quality.
Mentor and manage a cross-functional engineering team focused on data platform reliability, observability, continuous improvement, and operational excellence.
Bachelor’s degree in Computer Science, Information Systems, Electrical Engineering, or related field.
10+ years in software development/engineering in large enterprise with at least 5 years in data engineering building large pipelines.
Proficient in Scala and Python programming with experience in data tech such as MSK, Kinesis, Spark, Flink, Databricks, Snowflake, Airflow, Kubernetes, and observability tools (DataDog, Grafana).
Location: Bangalore, India.
Experienced leader capable of providing architectural and technical direction within advertising data environments.
Strong expertise in large-scale, high-concurrency data pipeline engineering with hands-on coding and mentoring skills.
Skilled in integrating multiple data technologies and balancing system reliability with delivery speed in agile settings.