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Senior Data Engineer

Launch India

5 - 10 years

Mangalore

Posted: 20/05/2026

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Job Description

Senior Data Engineer

Role: Senior Data Engineer Location: Bangalore

Years of experience: 7+ Years

Shift: General Shift (3 days WFO)

Responsibilities: Design and implement GCP-native data pipelines using services such as

BigQuery, Dataflow, and Pub/Sub. Leverage Cloud Composer for orchestration and automate workflows across GCP services.

Understanding of the data architecture - from data ingestion at the source, through transformation and storage, to final consumption by analytics, reporting, or machine learning systems.

Design and implement data pipelines and ETL/ELT pipelines to move and transform data from various sources (APIs, databases, logs, IoT, files)

Ensure ETL processes are efficient, scalable, and optimized for performance

Implement measures to ensure accuracy, integrity, and consistency of data throughout the ETL process

Design and optimize data models for structured and unstructured data

Implement and manage scalable cloud data lakes and warehouses

Collaborate with cross-functional teams to understand data requirements and deliver solutions

Troubleshoot and resolve performance and reliability issues across the data platform

Involved in automating workflows using CI/CD (e.g., GitHub Actions, Jenkins)

Mandatory Skills:

Extensive experience with Google Cloud Platform (GCP) /Azure/AWS including BigQuery, Dataflow, Pub/Sub, Cloud Composer, Vertex AI, Cloud Storage, Cloud Functions. Ability to design and implement GCP-native data engineering solutions.

7+ years for Data Modeling and ETL Development Experience

Experience with cloud data warehouse such as BigQuery

Strong SQL skills experience and experience with one or more programming languages (Python, Java, Scala)

Experience with big data technologies (Hadoop, Spark, Kafka)

Hands-on knowledge of GCP cloud platform

Experience with CI/CD pipelines and DevOps practices

Familiarity with data modeling, warehousing, and governance principles Preferred Skills: Hands-on experience with GCP-native tools and services for data engineering and orchestration.

Certifications in GCP or cloud data engineering

Familiarity with tools like Looker and dbt

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