Data Engineer

We're Hiring: Data Engineer – Spark / GCP

Location: Bangalore, India

Experience: 4–6 Years

Availability: Immediate Joiners Preferred

Client: Leading US-Based Retail Organization

We are looking for an experienced Data Engineer with strong expertise in Google Cloud Platform (GCP), Apache Spark and Scala to join our data engineering team and build scalable, high-performance data pipelines for a leading US retail client.

Key Responsibilities:

• Design, develop and maintain scalable data ingestion and transformation pipelines using Apache Spark and Scala.
• Work with GCP services, including Dataproc, BigQuery and Google Cloud Storage.
• Develop and optimize complex SQL queries for data transformation, analysis and validation.
• Build Unix/Linux shell scripts for workflow automation and data processing.
• Optimize pipeline performance, troubleshoot issues and ensure data quality and reliability.
• Collaborate with cross-functional data engineering and analytics teams.
• Participate in code reviews, documentation and CI/CD integration.

Must-Have Skills:

• 4–6 years of experience in Data Engineering.
• Strong hands-on experience with GCP, Scala and Apache Spark.
• Experience with Hive, Hadoop and BigQuery.
• Strong SQL skills, preferably BigQuery SQL.
• Experience with workflow scheduling tools such as Apache Airflow or equivalent.
• Good understanding of Unix/Linux environments.

Good to Have:

• Python programming and automation.
• Shell scripting.
• Experience with Git, CI/CD and data quality practices.

Interested candidates can share their updated resumes at [HIDDEN TEXT].

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Skills

Apache Airflow, Unix, BigQuery, Hive, Gcp, Hadoop, Linux, Scala, Apache Spark, Sql