Etl Developer

1 hour ago

Bengaluru, Karnataka, India 8a50ae28-73a2-45d4-a7dc-2ec3996e1ae6 Full time ₹ 12,00,000 - ₹ 18,00,000 per year

We are seeking a skilled ETL Developer with strong experience in Google Cloud

Platform (GCP) to design, develop, and maintain data integration pipelines that power

analytics and business intelligence solutions. The ideal candidate will have hands-on

experience with cloud-based ETL frameworks, data modeling, and modern data

warehousing tools, ensuring high-quality, reliable, and scalable data solutions.

Key Responsibilities

  • Design, develop, and maintain ETL pipelines for ingesting, transforming, and

delivering structured and unstructured data.

  • Build and optimize data workflows using Google Cloud services such as

BigQuery, Dataflow, Dataproc, and Cloud Storage.

  • Implement and maintain data quality, validation, and governance frameworks

across multiple data sources.

  • Collaborate with data engineers, analysts, and product teams to understand

data requirements and ensure alignment with business goals.

  • Monitor data pipelines for performance and reliability, troubleshooting issues

proactively.

  • Develop and maintain technical documentation for ETL processes,

architecture, and design decisions.

  • Work with DevOps teams to automate deployment and manage CI/CD pipelines

for data workflows.

Required Qualifications

  • 36 years of experience in ETL development, data engineering, or related fields.

  • Strong proficiency with SQL and Python (or Java/Scala).

  • Hands-on experience with Google Cloud Platform (GCP) — especially

BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Cloud Composer.

  • Experience with ETL/ELT tools such as Apache Beam, Airflow, DBT
  • Knowledge of data modeling, data lake / warehouse design, and schema

optimization.

  • Understanding of API integrations, streaming data, and batch processing

frameworks.

  • Experience with Terraform or Infrastructure as Code in GCP.

  • Exposure to machine learning data pipelines or analytics engineering.

  • Certification in Google Cloud Data Engineer or equivalent is a plus.

Soft Skills

  • Strong analytical and problem-solving abilities.

  • Excellent communication and collaboration skills across cross-functional

teams.

  • Self-driven with the ability to work in fast-paced, agile environments.

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