Senior Data Engineer
Launch India
5 - 10 years
Mangalore
Posted: 20/05/2026
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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