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Data Flow Engineer

Delaplex
7 - 9 Years
Anywhere in India/Multiple Locations

Posted on: 08/06/2026

Job Description

Description :

About Company :


At Delaplex, we believe true organizational distinction comes from exceptional products and services.

Founded in 2008 by a team of like-minded business enthusiasts, we have grown into a trusted name in technology consulting and supply chain solutions.

Our reputation is built on trust, innovation, and the dedication of our people who go the extra mile for our clients.

Guided by our core values, we dont just deliver solutions, we create meaningful impact.

Key Responsibilities :

- Design, develop, and maintain scalable data pipelines using Apache Beam.

- Build and deploy batch and streaming pipelines on Google Cloud Dataflow.

- Work with large scale datasets to ensure efficient and reliable data processing.

- Maintain and enhance existing Java based Dataflow pipelines.

- Build new Dataflow pipelines using Python or Java (both acceptable).

- Collaborate with engineering teams to define data requirements and pipeline architecture.

- Optimize pipeline performance, reliability, and cost efficiency.

Required Skills Apache Beam / Dataflow :

- Strong hands on experience with Apache Beam (Python or Java SDK).

- Experience running production pipelines on Google Cloud Dataflow.

- Solid understanding of distributed data processing.

- Knowledge of batch and streaming data processing.

Programming :

- Strong programming skills in Python and/or Java.

Data :

- Experience with SQL for data transformation and validation.

Preferred Skills :

- Experience working with both Python and Java Beam pipelines.

- Familiarity with Google Cloud Platform :

1. BigQuery.

2. Pub/Sub.

3. GCS.

- Experience with workflow orchestration tools such as Airflow.

- Understanding of streaming concepts :

1. Windowing.

2. Triggers.

3. Watermarks.

- Experience optimizing large scale data pipelines.

What Were Looking For :

- Strong problem solving skills.

- Ownership mindset.

- Ability to work with complex, large scale data systems.

- Strong collaboration and communication skills.

- Passion for building reliable and scalable data infrastructure.

Skills : python, data, cloud, data processing, pipelines.

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