Ebu Data Engineer 5 8 Years Of Experie Bengaluru

Description

As a Data Engineer, you will be an significant 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

Robust 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, that’s your problem to fix, not just flag

A reliable maintainer — you respect production systems, assess risk before making changes, and

don’t 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 aren’t optional to you

A team player — you support your teammates, participate in me