Gcp Data Engineer

Intellics Global Services

Hyderabad, Pune District

Vor Ort

INR 1.600.000 - 2.800.000

Vollzeit

Vor 9 Tagen

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Zusammenfassung

Intellics Global Services is hiring a GCP Data Engineer based in Hyderabad/Pune. You will architect and maintain data pipelines on Google Cloud Platform, optimize data models in BigQuery, and build Looker dashboards for analytics.

The role requires 6–8 years of hands-on experience with GCP, Looker LookML, and SQL, plus scripting in Python. You will collaborate with cross-functional teams, ensure data governance, security, and reliable data delivery in a fast-paced environment.

Qualifikationen

  • 6–8 years of hands-on data engineering experience in GCP.
  • Strong SQL and analytics querying with Looker and BI tooling.
  • Experience in Looker LookML modeling and dashboarding.
  • Familiarity with data security, governance, and logging in cloud environments.

Aufgaben

  • Design, develop, and maintain high-performance data pipelines using GCP services like BigQuery, Dataflow, Pub/Sub, and Composer.
  • Design and develop Looker dashboards with security provisioning and drill-down capabilities.
  • Ensure data security, lineage, quality, and compliance across GCP ecosystems via IAM, audit logging, and schema management.
  • Monitor, troubleshoot, and optimize pipelines and warehouse performance using Cloud Monitoring, Cloud Logging, and BigQuery Optimizer.
  • Write SQL queries, dbt models, or Dataflow pipelines to transform raw data into analytics-ready datasets.
  • Develop and optimize SQL and data transformation scripts for warehousing and reporting.
  • Ensure data quality, governance, and security across all data stack layers.
  • Write clean, maintainable code following best practices.

Kenntnisse

GCP Data Engineering
Looker
BigQuery
SQL
Python
dbt
Airflow

Tools

LookML
Git

Jobbeschreibung

Role & responsibilities

Hi

We are hiring for GCP Data Engineer

Hyderabad/Pune

JD-Roles and Responsibilities
  • Design develop and maintain high-performance data pipelines using GCP services such as Big Query Dataflow Pub Sub and Composer Airflow
  • Design and develop Looker Dashboards with apt security provisioning and drill down capabilities
  • Ensure data security lineage quality and compliance across GCP data ecosystems through IAM audit logging data encryption and schema management
  • Monitor troubleshoot and optimize pipeline and warehouse performance using GCP native tools such as Cloud Monitoring Cloud Logging and BigQuery Optimizer
  • Write SQL queries dbt models or Dataflow pipelines to transform raw data into analyticsready datasets
  • Develop and optimize SQL queries and data transformation scripts for data warehousing and reporting purposes
  • Ensure data quality governance and security best practices across all layers of the data stack
  • Write clean maintainable and efficient code following best practices
Skills
  • Data Engineering
  • 6 to 8 years of experience in data engineering with at least 34 years handson experience specifically in Google Cloud Platform GCP and BI tools like Looker
  • BigQuery data modeling optimization security Advanced SQL proficiency with complex data transformation windowing functions and analytical querying
  • Ability to design and develop modular maintainable SQL models using dbt best practices
  • Basic to intermediate knowledge of Python for scripting and automation
  • Exposure to ETL and batch scheduling orchestration solutions
  • Experience with version control systems like Git and branching strategies
  • Looker
  • Hands on experience in Looker with design development configuration setup dashboarding and reporting techniques
  • Experience building and maintaining LookML models Explores PDTs and semantic layers
  • Understanding of security provisioning and access controls performance tuning of dashboard reports based on large dataset building drill down capabilities
  • Proven ability to design scalable userfriendly dashboards and selfservice analytics environments
  • Expertise in optimizing Looker performance materialized views query tuning aggregate tables
  • Strong command over RowLevel Security Access Filters and permission sets in Looker to support enterprisegrade data governance
General
  • Experience with Agile delivery methodologies eg Scrum Kanban
  • Demonstrable track record of dealing well with ambiguity prioritizing needs and delivering results in a dynamic environment
  • Conduct regular workshops demos and stakeholder reviews to showcase data solutions and capture feedback
  • Excellent communication and collaboration skills
  • Flexible to work in shifts and provide oncall support owning the smooth operation of applications and systems
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