Data Engineering Pipeline Engineer – Role
ABOUT THE ROLE
We are looking for a skilled Data Engineering Pipeline Engineer to design, build, and maintain scalable data infrastructure that powers our analytics, machine learning, and business intelligence platforms. You will work across the full data lifecycle — from ingestion and transformation to storage and delivery — ensuring reliability, performance, and governance at every stage. This is a high-impact role where you will collaborate closely with data scientists, analysts, and platform engineers to ship robust pipelines that enable data-driven decisions across the organization.

KEY RESPONSIBILITIES
• Design, build, and maintain scalable batch and real-time data pipelines using tools such as Apache Spark, Kafka, Flink, or Airflow
• Develop and optimize ETL/ELT workflows to ingest data from diverse sources including APIs, databases, event streams, and flat files
• Architect and manage cloud-based data infrastructure on AWS, GCP, or Azure (e.g., S3, BigQuery, Redshift, Databricks, Snowflake)
• Implement data quality monitoring,



alerting, and observability frameworks to ensure pipeline reliability and SLA compliance
• Collaborate with data scientists and ML engineers to support model training, feature engineering, and inference pipelines
• Partner with analytics engineers to maintain and evolve data warehouse models (dbt, dimensional modeling)
• Define and enforce data governance standards including cataloging, lineage tracking, and access control policies
• Optimize pipeline performance through profiling, query tuning, partitioning strategies, and cost management
• Document pipeline architecture, data contracts, and runbooks for operational clarity
• Participate in on-call rotation and incident response for critical data infrastructure

REQUIRED QUALIFICATIONS
• 4+ years of experience in data engineering, ETL development, or a related software engineering discipline
• Proficiency in Python and/or Scala for pipeline d

📌 Data Engineering Pipeline Engineer – Role Description (Bengaluru)
🏢 Innoventes
📍 Bengaluru