Skills

Must have

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.

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.

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.

Data Engineer

Compensation

Not disclosed

Location

Bangalore

Work setup

Not specified

Seniority

Not specified

Employment

Not specified

Experience

4+ years

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.

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.

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.