Position Overview

We are seeking six experienced Data Engineers to support the design, development, testing, deployment, and operationalization of analytics-ready data models and associated data pipelines. These engineers will work as an extension of the existing engineering organization and execute work from a jointly prioritized backlog. India resources will overlap approximately three to four hours daily with the US Pacific time zone.

Key Responsibilities

- Design logical and physical data models.

- Develop analytics-ready Tier-2 data models using dimensional modeling and star-schema principles where appropriate.

- Define facts, dimensions, relationships, measures, and transformations.

- Develop ingestion, transformation, and orchestration pipelines.

- Implement batch and streaming data-processing workflows.

- Support data replication and historical backfills.

- Develop data-quality controls and validation logic.

- Perform unit, integration, regression, and data-quality testing.

- Reconcile source and target datasets.

- Prepare production-ready code, configuration, and models.

- Participate in code reviews and approved release processes.

- Support production deployment and post-deployment validation.

- Troubleshoot defects and perform root-cause analysis.

- Create technical documentation, release notes, and operational materials.

- Participate in daily stand-ups, design reviews, demonstrations, and knowledge-transfer activities.

Required Qualifications





- Five or more years of qualified data engineering or distributed-systems experience.

- Strong production experience with batch and streaming data architectures.

- Experience building and maintaining production data pipelines.

- Experience with dimensional data modeling and star-schema design.

- Strong programming skills using Python, Java, and SQL.

- Experience with data quality, automated testing, and production troubleshooting.

- Experience with source control, CI/CD, code reviews, and agile engineering practices.

- Ability to work effectively within a distributed global engineering team.

Required Technologies

- Apache Iceberg

- Apache Airflow

- Apache Spark

- Apache Kafka

- Apache Flink

- Snowflake

- Java and Python

- Amazon Web Services

- SQL and data modeling

Expected Deliverables

- Completed source code, configurations, and data models.

- Technical and operational documentation.

- Approved pull requests.

- Testing and validation evidence.

- Engineering demonstrations or technical walkthroughs.

- Release notes and change summaries.

- Production deployment artifacts.

- Post-release validation.

- Knowledge transfer and documented handoff of remaining work.

Regional Expectations

- India resources will support development, testing, and cross-time-zone delivery, with approximately three to four hours of daily overlap with the US Pacific time zone.

📌 Data Engineer (Bengaluru)
🏢 Aziro
📍 Bengaluru