Data Engineer - GCP

Target in India; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Target in India is seeking a Data Engineer (Contractor) to design, build, and optimize scalable data pipelines in a Google Cloud environment. The role focuses on Spark pipelines (Scala preferred), BigQuery, and Unix scripting to support analytics and reporting.

You will collaborate with data teams to ensure data quality, participate in code reviews, and contribute to CI/CD integration of data workflows, with 4–6 years of hands-on experience in data engineering.

Qualifications

• 4–6 years of hands-on data engineering experience.
• Experience developing Spark applications in Scala.
• Strong GCP experience with Dataproc, BigQuery and Cloud Storage.
• Proficient in SQL (BigQuery dialect).
• Unix/Linux scripting for data automation.
• Git and CI/CD workflow experience.
• Strong problem-solving and communication skills.

Responsibilities

• Design, develop, and deploy data ingestion and transformation pipelines using Apache Spark (Scala).
• Work within Google Cloud Platform (GCP) components, including Dataproc, BigQuery & Cloud Storage.
• Write complex SQL queries for data analysis, validation, and transformation in BigQuery.
• Develop Unix shell scripts for automation, data movement, and pipeline orchestration.
• Optimize and troubleshoot data pipelines for performance, scalability, and reliability.
• Collaborate with data engineers, analysts, and business stakeholders to understand requirements and ensure data quality.
• Contribute to code reviews, documentation, and CI/CD integration of data workflows.

Skills

Spark (Scala)

GCP

BigQuery

Unix scripting

SQL

Git & CI/CD

Python (nice to have)

Tools

Dataproc

Cloud Storage

Job description

We are seeking a highly skilled Data Engineer (Contractor) to support the development and optimisation of data pipelines within our Google Cloud Platform (GCP) environment. The ideal candidate will have strong experience building Spark pipelines (Scala preferred), working with BigQuery, and writing efficient Unix scripts to support large-scale data processing. You will collaborate with data engineering teams to design, build, and maintain high-performance data pipelines that enable analytics, reporting, and business insights.

Responsibilities:

• Design, develop, and deploy data ingestion and transformation pipelines using Apache Spark (Scala).
• Work within Google Cloud Platform (GCP) components, including Dataproc, BigQuery & Cloud Storage.
• Write complex SQL queries for data analysis, validation, and transformation in BigQuery.
• Develop Unix shell scripts for automation, data movement, and pipeline orchestration.
• Optimise and troubleshoot data pipelines for performance, scalability, and reliability.
• Collaborate with data engineers, analysts, and business stakeholders to understand requirements and ensure data quality.
• Contribute to code reviews, documentation, and CI/CD integration of data workflows.

Requirements:

• 4-6 years of hands‑on experience in data engineering or related roles.
• Proven experience developing Spark applications in Scala.
• Strong experience working in the Google Cloud Platform (GCP) ecosystem, including Dataproc, BigQuery, and Cloud Storage.
• Proficient in SQL (especially BigQuery SQL dialects).
• Strong experience with Unix/Linux scripting for data automation.
• Familiarity with version control (Git) and CI/CD processes.
• Excellent problem‑solving and debugging skills.
• Strong communication and documentation abilities.

Nice‑to‑Have Skills:

• Experience with Python for data processing or automation.
• Knowledge of data governance, data quality, or metadata management best practices.