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Mid-level, popular data-engineer role in Bengaluru with broad stack increases candidate competition.
Core data engineering skills are broadly transferable; industry-specific advertising experience is only nice-to-have.
Explicit 5+ years plus mandatory big-data, Snowflake/dbt, Spark, and Python production experience enforces strict filters.
Design, implement, and maintain high-performance big data infrastructure and pipelines processing billions of events daily.
Partner with product, data, and engineering teams to enable data accessibility that drives revenue and improves customer experience.
Monitor and optimize data platform performance and data quality across systems, while adopting emerging data processing technologies.
Bachelor's degree in Computer Science or related technical discipline.
5+ years experience designing and developing big data processing systems with distributed computing.
1+ years production experience with modern cloud data warehouses such as Snowflake and advanced dbt workflows.
Proficiency in Python, Spark, SQL optimization, NoSQL databases, job orchestration tools like Airflow, and experience with AWS cloud platform.
Experienced in architecting scalable big data solutions in cloud environments with strong emphasis on data quality and pipeline resilience.
Capable of translating complex business requirements into logical, efficient data pipelines and collaborating with cross-functional teams.
Technically proficient in Python, Spark, SQL, NoSQL, and orchestration tools, with a forward-looking interest in emerging technologies such as Spark and Kubernetes.