EBU Data Engineer | 5-8 Years of experience9 (Bengaluru)

Description As a Data Engineer, you will be an important part of the Enterprise Business Unit (EBU) team responsible for owning and maintaining the data pipeline layer that powers reporting for our platforms. Reporting is critical to both internal operations and external clients. If you have experience maintaining and improving data pipelines, working with orchestration tools, and ensuring data quality in a production environment, read on. Requirements 4+ years of experience in data engineering Strong Python ETL scripting and pipeline development Apache Airflow author, maintain, and troubleshoot DAGs across a 223-DAG multi-domain production environment; KubernetesExecutor experience a plus dbt (dbt-bigquery preferred) model authoring, schema tests, source freshness Solid SQL and BigQuery proficiency S3 data pipeline experience reading, writing, and managing partitioned data Familiarity with Spark or PySpark for large-scale data ingestion GitHub Actions CI/CD Solid understanding of ETL/ELT design patterns, data warehousing concepts, and data quality practices Nice to haves: dbt best practices incremental models, snapshots, macros Ad-tech reporting pipeline experience impressions, clicks, attribution, pixel firing Databricks familiarity (consumer/reporting side) SFTP-based data delivery patterns IKS or Kubernetes deployment experience Scala familiarity React or frontend development experience An owner if data is broken, thats your problem to fix, not just flag A reliable maintainer you respect production systems, assess risk before making changes, and dont break things trying to improve them A clear communicator you can explain pipeline issues and tradeoffs to a non-engineering audience Comfortable with tech debt you know how to sequence priorities and reduce risk without a full rewrite Quality-minded schema tests and CI gates arent optional to you A team player you support your teammates, participate in me .